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AbstractDataSource instance.
AbstractTestSetProducer instance.
AbstractTrainAndTestSetProducer instance.
AbstractTrainingSetProducer instance.
acceptGraph method here.
Associator instance.
AttributeSummarizer instance.
BatchClassifierEvent instance.
BatchClassifierEvent instance.
BatchClustererEvent instance.
BeanConnection instance.
BeanInstance instance.
BeanInstance instance given the fully
qualified name of the bean
BitMatrix with the indicated
number of rows and columns.
BoundaryPanel instance.
BoundaryPanelDistributed instance.
BoundaryVisualizer instance.
ChartEvent instance.
ChartEvent instance.
CheckGOE -W classname -- test options
Valid options are:
CheckOptionHandler -W optionHandlerClassName -- test options
Valid options are: weka.classifiers.Sourcable interface.weka.filters.Sourcable interface.Task
Classifier instance.
Clusterer instance.
Coordinates for the given instance.
DiscreteEstimator.
- CumulativeDiscreteDistribution(DiscreteDistribution) -
Constructor for class weka.classifiers.misc.monotone.CumulativeDiscreteDistribution
- Create a
CumulativeDiscreteDistribution based on a
DiscreteDistribution.
- CumulativeDiscreteDistribution(double[]) -
Constructor for class weka.classifiers.misc.monotone.CumulativeDiscreteDistribution
- Create a
CumulativeDiscreteDistribution based on an
array of doubles.
- cumulativeDistributionForInstance(Instance) -
Method in class weka.classifiers.misc.monotone.OSDLCore
- Calculates the cumulative class probabilities for the given test
instance.
- CustomizerCloseRequester - Interface in weka.gui.beans
- Customizers who want to be able to close the customizer window
themselves can implement this window.
- customizerClosing() -
Method in class weka.gui.beans.ClassAssignerCustomizer
-
- customizerClosing() -
Method in class weka.gui.beans.ClassifierCustomizer
-
- customizerClosing() -
Method in class weka.gui.beans.ClassValuePickerCustomizer
-
- customizerClosing() -
Method in interface weka.gui.beans.CustomizerClosingListener
- Customizer classes that want to know when they are being
disposed of can implement this method.
- CustomizerClosingListener - Interface in weka.gui.beans
-
- CustomPanelSupplier - Interface in weka.gui
- An interface for objects that are capable of supplying their own
custom GUI components.
- cutOffFactorTipText() -
Method in class weka.clusterers.XMeans
- Returns the tip text for this property.
- cutoffTipText() -
Method in class weka.clusterers.Cobweb
- Returns the tip text for this property
- cutpointsToString(double[], boolean[]) -
Static method in class weka.estimators.EstimatorUtils
- Returns a string representing the cutpoints
- CV_BASED -
Static variable in class weka.classifiers.bayes.BayesianLogisticRegression
-
- CVBasedHyperparameter() -
Method in class weka.classifiers.bayes.BayesianLogisticRegression
- Method computes the best hyperparameter value by doing cross
-validation on the training data and compute the likelihood.
- CVParameterSelection - Class in weka.classifiers.meta
- Class for performing parameter selection by cross-validation for any classifier.
For more information, see:
R. - CVParameterSelection() -
Constructor for class weka.classifiers.meta.CVParameterSelection
-
- CVParametersTipText() -
Method in class weka.classifiers.meta.CVParameterSelection
- Returns the tip text for this property
- CVResultsString() -
Method in class weka.attributeSelection.AttributeSelection
- returns a string summarizing the results of repeated attribute
selection runs on splits of a dataset.
- CVTypeTipText() -
Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
start immediately with the
FORMAT_SECONDS output format and CPU time if available
start immediately, using
CPU time if available
DiscreteDistribution based on a
DiscreteEstimator.
- DiscreteDistribution(CumulativeDiscreteDistribution) -
Constructor for class weka.classifiers.misc.monotone.DiscreteDistribution
- Create a
DiscreteDistribution based on a
CumulativeDiscreteDistribution.
- DiscreteDistribution(double[]) -
Constructor for class weka.classifiers.misc.monotone.DiscreteDistribution
- Create a
DiscreteDistribution based on an
array of doubles.
- DiscreteEstimator - Class in weka.estimators
- Simple symbolic probability estimator based on symbol counts.
- DiscreteEstimator(int, boolean) -
Constructor for class weka.estimators.DiscreteEstimator
- Constructor
- DiscreteEstimator(int, double) -
Constructor for class weka.estimators.DiscreteEstimator
- Constructor
- DiscreteEstimatorBayes - Class in weka.classifiers.bayes.net.estimate
- Symbolic probability estimator based on symbol counts and a prior.
- DiscreteEstimatorBayes(int, double) -
Constructor for class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
- Constructor
- DiscreteEstimatorFullBayes - Class in weka.classifiers.bayes.net.estimate
- Symbolic probability estimator based on symbol counts and a prior.
- DiscreteEstimatorFullBayes(int, double, double, DiscreteEstimatorBayes, DiscreteEstimatorBayes, double) -
Constructor for class weka.classifiers.bayes.net.estimate.DiscreteEstimatorFullBayes
- Constructor
- DiscreteFunction - Class in weka.classifiers.functions.pace
- Class for handling discrete functions.
- DiscreteFunction() -
Constructor for class weka.classifiers.functions.pace.DiscreteFunction
- Constructs an empty discrete function
- DiscreteFunction(DoubleVector) -
Constructor for class weka.classifiers.functions.pace.DiscreteFunction
- Constructs a discrete function with the point values provides and the
function values are all 1/n.
- DiscreteFunction(DoubleVector, DoubleVector) -
Constructor for class weka.classifiers.functions.pace.DiscreteFunction
- Constructs a discrete function with both the point values and
function values provided.
- Discretize - Class in weka.core.pmml
- Class encapsulating a Discretize Expression.
- Discretize(Element, FieldMetaInfo.Optype, ArrayList<Attribute>) -
Constructor for class weka.core.pmml.Discretize
- Constructs a Discretize Expression
- Discretize - Class in weka.filters.supervised.attribute
- An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.
- Discretize() -
Constructor for class weka.filters.supervised.attribute.Discretize
- Constructor - initialises the filter
- Discretize - Class in weka.filters.unsupervised.attribute
- An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.
- Discretize() -
Constructor for class weka.filters.unsupervised.attribute.Discretize
- Constructor - initialises the filter
- Discretize(String) -
Constructor for class weka.filters.unsupervised.attribute.Discretize
- Another constructor, sets the attribute indices immediately
- discretizeBinTipText() -
Method in class weka.classifiers.mi.MIBoost
- Returns the tip text for this property
- displayModelInOldFormatTipText() -
Method in class weka.classifiers.bayes.NaiveBayes
- Returns the tip text for this property
- displayModelInOldFormatTipText() -
Method in class weka.clusterers.EM
- Returns the tip text for this property
- displayResultset(int) -
Method in class weka.experiment.PairedTTester
- Checks whether the resultset with the given index shall be displayed.
- displayResultset(int) -
Method in interface weka.experiment.Tester
- Checks whether the resultset with the given index shall be displayed.
- displayRulesTipText() -
Method in class weka.classifiers.rules.DecisionTable
- Returns the tip text for this property
- displayStdDevsTipText() -
Method in class weka.clusterers.SimpleKMeans
- Returns the tip text for this property
- dispose() -
Method in class weka.gui.GUIChooser.ChildFrameSDI
- de-registers the child frame with the parent first.
- dispose() -
Method in class weka.gui.Main.ChildFrameMDI
- de-registers the child frame with the parent first.
- dispose() -
Method in class weka.gui.Main.ChildFrameSDI
- de-registers the child frame with the parent first.
- dispose() -
Method in class weka.gui.visualize.PostscriptGraphics
- Not implemented
- disposeSplash() -
Static method in class weka.gui.SplashWindow
- Closes the splash window.
- distance(Instance, Instance) -
Method in class weka.classifiers.mi.CitationKNN
- distance between two instances
- distance(DataObject) -
Method in interface weka.clusterers.forOPTICSAndDBScan.DataObjects.DataObject
- Calculates the distance between dataObject and this.dataObject
- distance(DataObject) -
Method in class weka.clusterers.forOPTICSAndDBScan.DataObjects.EuclidianDataObject
- Calculates the euclidian-distance between dataObject and this.dataObject
- distance(DataObject) -
Method in class weka.clusterers.forOPTICSAndDBScan.DataObjects.ManhattanDataObject
- Calculates the manhattan-distance between dataObject and this.dataObject
- distance(Instance, Instance, double, PerformanceStats) -
Method in class weka.core.AbstractStringDistanceFunction
- Calculates the distance between two instances.
- distance(Instance, Instance) -
Method in interface weka.core.DistanceFunction
- Calculates the distance between two instances.
- distance(Instance, Instance, PerformanceStats) -
Method in interface weka.core.DistanceFunction
- Calculates the distance between two instances.
- distance(Instance, Instance, double) -
Method in interface weka.core.DistanceFunction
- Calculates the distance between two instances.
- distance(Instance, Instance, double, PerformanceStats) -
Method in interface weka.core.DistanceFunction
- Calculates the distance between two instances.
- distance(Instance, Instance) -
Method in class weka.core.EuclideanDistance
- Calculates the distance between two instances.
- distance(Instance, Instance, PerformanceStats) -
Method in class weka.core.EuclideanDistance
- Calculates the distance (or similarity) between two instances.
- distance(Instance, Instance) -
Method in class weka.core.NormalizableDistance
- Calculates the distance between two instances.
- distance(Instance, Instance, PerformanceStats) -
Method in class weka.core.NormalizableDistance
- Calculates the distance between two instances.
- distance(Instance, Instance, double) -
Method in class weka.core.NormalizableDistance
- Calculates the distance between two instances.
- distance(Instance, Instance, double, PerformanceStats) -
Method in class weka.core.NormalizableDistance
- Calculates the distance between two instances.
- distanceFTipText() -
Method in class weka.clusterers.XMeans
- Returns the tip text for this property.
- DistanceFunction - Interface in weka.core
- Interface for any class that can compute and return distances between two
instances.
- distanceFunctionTipText() -
Method in class weka.clusterers.SimpleKMeans
- Returns the tip text for this property.
- distanceFunctionTipText() -
Method in class weka.core.neighboursearch.NearestNeighbourSearch
- Returns the tip text for this property.
- distanceSet(Instance, Instance) -
Method in class weka.classifiers.mi.CitationKNN
- Calculates the distance between two instances
- distanceTypeTipText() -
Method in class weka.classifiers.misc.OLM
- Returns the tip text for this property.
- distanceWeightingTipText() -
Method in class weka.classifiers.lazy.IBk
- Returns the tip text for this property.
- distinctCount -
Variable in class weka.core.AttributeStats
- The number of distinct values
- distMultTipText() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Returns the tip text for this property
- distributedExperimentSelected() -
Method in class weka.gui.experiment.DistributeExperimentPanel
- Returns true if the distribute experiment checkbox is selected
- DistributeExperimentPanel - Class in weka.gui.experiment
- This panel enables an experiment to be distributed to multiple hosts;
it also allows remote host names to be specified.
- DistributeExperimentPanel() -
Constructor for class weka.gui.experiment.DistributeExperimentPanel
- Constructor
- DistributeExperimentPanel(Experiment) -
Constructor for class weka.gui.experiment.DistributeExperimentPanel
- Creates the panel with the supplied initial experiment.
- distribution() -
Method in class weka.classifiers.evaluation.NominalPrediction
- Gets the predicted probabilities
- distribution() -
Method in class weka.classifiers.trees.j48.ClassifierSplitModel
- Returns the distribution of class values induced by the model.
- Distribution - Class in weka.classifiers.trees.j48
- Class for handling a distribution of class values.
- Distribution(int, int) -
Constructor for class weka.classifiers.trees.j48.Distribution
- Creates and initializes a new distribution.
- Distribution(double[][]) -
Constructor for class weka.classifiers.trees.j48.Distribution
- Creates and initializes a new distribution using the given
array.
- Distribution(Instances) -
Constructor for class weka.classifiers.trees.j48.Distribution
- Creates a distribution with only one bag according
to instances in source.
- Distribution(Instances, ClassifierSplitModel) -
Constructor for class weka.classifiers.trees.j48.Distribution
- Creates a distribution according to given instances and
split model.
- Distribution(Distribution) -
Constructor for class weka.classifiers.trees.j48.Distribution
- Creates distribution with only one bag by merging all
bags of given distribution.
- Distribution(Distribution, int) -
Constructor for class weka.classifiers.trees.j48.Distribution
- Creates distribution with two bags by merging all bags apart of
the indicated one.
- distributionForInstance(Instance) -
Method in class weka.classifiers.bayes.AODE
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.bayes.AODEsr
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.bayes.BayesNet
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.bayes.DMNBtext
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.bayes.DMNBtext.DNBBinary
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.bayes.HNB
- Calculates the class membership probabilities for the given test instance
- distributionForInstance(Instance) -
Method in class weka.classifiers.bayes.NaiveBayes
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.bayes.NaiveBayesMultinomial
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.bayes.NaiveBayesSimple
- Calculates the class membership probabilities for the given test instance.
- distributionForInstance(BayesNet, Instance) -
Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(BayesNet, Instance) -
Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(BayesNet, Instance) -
Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.bayes.WAODE
- Calculates the class membership probabilities for the given test instance
- distributionForInstance(Instance) -
Method in class weka.classifiers.Classifier
- Predicts the class memberships for a given instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.functions.LibLINEAR
- Computes the distribution for a given instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.functions.LibSVM
- Computes the distribution for a given instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.functions.Logistic
- Computes the distribution for a given instance
- distributionForInstance(Instance) -
Method in class weka.classifiers.functions.MultilayerPerceptron
- Call this function to predict the class of an instance once a
classification model has been built with the buildClassifier call.
- distributionForInstance(Instance) -
Method in class weka.classifiers.functions.RBFNetwork
- Computes the distribution for a given instance
- distributionForInstance(Instance) -
Method in class weka.classifiers.functions.SimpleLogistic
- Returns class probabilities for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.functions.SMO
- Estimates class probabilities for given instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.functions.VotedPerceptron
- Outputs the distribution for the given output.
- distributionForInstance(Instance) -
Method in class weka.classifiers.JythonClassifier
- Calculates the class membership probabilities for the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.lazy.IBk
- Calculates the class membership probabilities for the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.lazy.KStar
- Calculates the class membership probabilities for the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.lazy.LBR
- Calculates the class membership probabilities
for the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.lazy.LWL
- Calculates the class membership probabilities for the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.AdaBoostM1
- Calculates the class membership probabilities for the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.AttributeSelectedClassifier
- Classifies a given instance after attribute selection
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.Bagging
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.ClassificationViaRegression
- Returns the distribution for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.CostSensitiveClassifier
- Returns class probabilities.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.CVParameterSelection
- Predicts the class distribution for the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.Dagging
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.Decorate
- Calculates the class membership probabilities for the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.END
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.EnsembleSelection
- Calculates the class membership probabilities for the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.FilteredClassifier
- Classifies a given instance after filtering.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.Grading
- Returns class probabilities for a given instance using the stacked classifier.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.LogitBoost
- Calculates the class membership probabilities for the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.MetaCost
- Classifies a given instance after filtering.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.MultiClassClassifier
- Returns the distribution for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.MultiScheme
- Returns class probabilities.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.nestedDichotomies.ClassBalancedND
- Predicts the class distribution for a given instance
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.nestedDichotomies.DataNearBalancedND
- Predicts the class distribution for a given instance
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.nestedDichotomies.ND
- Predicts the class distribution for a given instance
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.OrdinalClassClassifier
- Returns the distribution for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
- Computes class distribution of an instance using the best committee.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.RandomCommittee
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.RandomSubSpace
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.RotationForest
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.Stacking
- Returns class probabilities.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.StackingC
- Classifies a given instance using the stacked classifier.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.ThresholdSelector
- Calculates the class membership probabilities for the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.meta.Vote
- Classifies a given instance using the selected combination rule.
- distributionForInstance(Instance) -
Method in class weka.classifiers.mi.CitationKNN
- Computes the distribution for a given exemplar
- distributionForInstance(Instance) -
Method in class weka.classifiers.mi.MDD
- Computes the distribution for a given exemplar
- distributionForInstance(Instance) -
Method in class weka.classifiers.mi.MIBoost
- Computes the distribution for a given exemplar
- distributionForInstance(Instance) -
Method in class weka.classifiers.mi.MIDD
- Computes the distribution for a given exemplar
- distributionForInstance(Instance) -
Method in class weka.classifiers.mi.MIEMDD
- Computes the distribution for a given exemplar
- distributionForInstance(Instance) -
Method in class weka.classifiers.mi.MILR
- Computes the distribution for a given exemplar
- distributionForInstance(Instance) -
Method in class weka.classifiers.mi.MIOptimalBall
- Computes the distribution for a given multiple instance
- distributionForInstance(Instance) -
Method in class weka.classifiers.mi.MISMO
- Estimates class probabilities for given instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.mi.MISVM
- Computes the distribution for a given exemplar
- distributionForInstance(Instance) -
Method in class weka.classifiers.mi.MIWrapper
- Computes the distribution for a given exemplar
- distributionForInstance(Instance) -
Method in class weka.classifiers.mi.SimpleMI
- Computes the distribution for a given exemplar
- distributionForInstance(Instance) -
Method in class weka.classifiers.mi.TLDSimple
- Computes the distribution for a given exemplar
- distributionForInstance(Instance) -
Method in class weka.classifiers.misc.HyperPipes
- Classifies the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.misc.monotone.OSDLCore
- Calculates the class probabilities for the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.misc.OSDL
- Use
classifyInstance from OSDLCore and
assign probability one to the chosen label.
- distributionForInstance(Instance) -
Method in class weka.classifiers.misc.SerializedClassifier
- Calculates the class membership probabilities for the given test
instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.misc.VFI
- Classifies the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.pmml.consumer.GeneralRegression
- Classifies the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.pmml.consumer.NeuralNetwork
- Classifies the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.pmml.consumer.Regression
- Classifies the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.rules.ConjunctiveRule
- Computes class distribution for the given instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.rules.DecisionTable
- Calculates the class membership probabilities for the given
test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.rules.DTNB
- Calculates the class membership probabilities for the given
test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.rules.JRip
- Classify the test instance with the rule learner and provide
the class distributions
- distributionForInstance(Instance) -
Method in class weka.classifiers.rules.part.ClassifierDecList
- Returns class probabilities for a weighted instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.rules.PART
- Returns class probabilities for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.rules.part.MakeDecList
- Returns the class distribution for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.rules.ZeroR
- Calculates the class membership probabilities for the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.ADTree
- Returns the class probability distribution for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.BFTree
- Computes class probabilities for instance using the decision tree.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.DecisionStump
- Calculates the class membership probabilities for the given test instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.FT
- Returns class probabilities for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.ft.FTInnerNode
- Returns the class probabilities for an instance given by the Functional tree.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.ft.FTLeavesNode
- Returns the class probabilities for an instance given by the Functional Leaves tree.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.ft.FTNode
- Returns the class probabilities for an instance given by the Functional Tree.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.ft.FTtree
- Returns the class probabilities for an instance given by the Functional tree.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.Id3
- Computes class distribution for instance using decision tree.
- distributionForInstance(Instance, boolean) -
Method in class weka.classifiers.trees.j48.ClassifierTree
- Returns class probabilities for a weighted instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.J48
- Returns class probabilities for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.J48graft
- Returns class probabilities for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.LADTree
- Returns the class probability distribution for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.LMT
- Returns class probabilities for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.lmt.LMTNode
- Returns the class probabilities for an instance given by the logistic model tree.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.lmt.LogisticBase
- Returns class probabilities for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.NBTree
- Returns class probabilities for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.RandomForest
- Returns the class probability distribution for an instance.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.RandomTree
- Computes class distribution of an instance using the decision tree.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.REPTree
- Computes class distribution of an instance using the tree.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.SimpleCart
- Computes class probabilities for instance using the decision tree.
- distributionForInstance(Instance) -
Method in class weka.classifiers.trees.UserClassifier
- Call this function to get a double array filled with the probability
of how likely each class type is the class of the instance.
- distributionForInstance(Instance) -
Method in class weka.clusterers.AbstractClusterer
- Predicts the cluster memberships for a given instance.
- distributionForInstance(Instance) -
Method in class weka.clusterers.AbstractDensityBasedClusterer
- Returns the cluster probability distribution for an instance.
- distributionForInstance(Instance) -
Method in interface weka.clusterers.Clusterer
- Predicts the cluster memberships for a given instance.
- distributionForInstance(Instance) -
Method in class weka.clusterers.FilteredClusterer
- Classifies a given instance after filtering.
- distributionsByOriginalIndex(double[]) -
Method in class weka.filters.supervised.attribute.ClassOrder
- Convert the given class distribution back to the distributions
with the original internal class index
- distributionSpreadTipText() -
Method in class weka.filters.supervised.instance.SpreadSubsample
- Returns the tip text for this property
- distributionTipText() -
Method in class weka.filters.unsupervised.attribute.RandomProjection
- Returns the tip text for this property
- DistributionUtils - Class in weka.classifiers.misc.monotone
- Class with some simple methods acting on
CumulativeDiscreteDistribution.- DistributionUtils() -
Constructor for class weka.classifiers.misc.monotone.DistributionUtils
-
- divergence(BayesNet) -
Method in class weka.classifiers.bayes.net.BIFReader
- calculates the divergence between the probability distribution
represented by this network and that of another, that is,
\sum_{x\in X} P(x)log P(x)/Q(x)
where X is the set of values the nodes in the network can take,
P(x) the probability of this network for configuration x
Q(x) the probability of the other network for configuration x
- divide(Instances, boolean) -
Static method in class weka.associations.LabeledItemSet
- Splits the class attribute away.
- dividedBy(DoubleVector) -
Method in class weka.core.matrix.DoubleVector
- Divided by another DoubleVector element by element
- dividedByEquals(DoubleVector) -
Method in class weka.core.matrix.DoubleVector
- Divided by another DoubleVector element by element in place
- DIVISION -
Static variable in interface weka.core.mathematicalexpression.sym
-
- DIVISION -
Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
-
- DKConditionalEstimator - Class in weka.estimators
- Conditional probability estimator for a discrete domain conditional upon
a numeric domain.
- DKConditionalEstimator(int, double) -
Constructor for class weka.estimators.DKConditionalEstimator
- Constructor
- dl(int) -
Method in class weka.core.Debug.DBO
- Return true if the debug level is set
same method as outpuTypeSet but better name
- DMNBtext - Class in weka.classifiers.bayes
- Class for building and using a Discriminative Multinomial Naive Bayes classifier.
- DMNBtext() -
Constructor for class weka.classifiers.bayes.DMNBtext
-
- DMNBtext.DNBBinary - Class in weka.classifiers.bayes
-
- DMNBtext.DNBBinary() -
Constructor for class weka.classifiers.bayes.DMNBtext.DNBBinary
-
- DNConditionalEstimator - Class in weka.estimators
- Conditional probability estimator for a discrete domain conditional upon
a numeric domain.
- DNConditionalEstimator(int, double) -
Constructor for class weka.estimators.DNConditionalEstimator
- Constructor
- dnorm(double) -
Static method in class weka.core.matrix.Maths
- Returns the density of the standard normal.
- dnorm(double, double, double) -
Static method in class weka.core.matrix.Maths
- Returns the density value of a standard normal.
- dnorm(double, DoubleVector, double) -
Static method in class weka.core.matrix.Maths
- Returns the density values of a set of normal distributions with
different means.
- dnormLog(double) -
Static method in class weka.core.matrix.Maths
- Returns the log-density of the standard normal.
- dnormLog(double, double, double) -
Static method in class weka.core.matrix.Maths
- Returns the log-density value of a standard normal.
- dnormLog(double, DoubleVector, double) -
Static method in class weka.core.matrix.Maths
- Returns the log-density values of a set of normal distributions with
different means.
- do_action(int, lr_parser, Stack, int) -
Method in class weka.core.mathematicalexpression.Parser
- Invoke a user supplied parse action.
- do_action(int, lr_parser, Stack, int) -
Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
- Invoke a user supplied parse action.
- doCommandlineCompletion(KeyEvent) -
Method in class weka.gui.SimpleCLIPanel
- performs commandline completion on packages and classnames.
- DOCTYPE -
Static variable in class weka.core.xml.XMLInstances
- the DTD
- DOCTYPE -
Static variable in class weka.core.xml.XMLOptions
- the DTD for the XML file.
- DOCTYPE -
Static variable in class weka.core.xml.XMLSerialization
- the DOCTYPE for the serialization
- doGrafting(Instances) -
Method in class weka.classifiers.trees.j48.C45PruneableClassifierTreeG
- Initializes variables for grafting.
- doHistory(KeyEvent) -
Method in class weka.gui.SimpleCLIPanel
- Changes the currently displayed command line when certain keys
are pressed.
- doMetaConnection(BeanInstance, BeanInstance, EventSetDescriptor, JComponent) -
Static method in class weka.gui.beans.BeanConnection
-
- done() -
Method in interface weka.classifiers.IterativeClassifier
- Signal end of iterating, useful for any house-keeping/cleanup
- done() -
Method in class weka.classifiers.pmml.consumer.PMMLClassifier
- Signal that a scoring run has been completed.
- done() -
Method in class weka.classifiers.trees.ADTree
- Frees memory that is no longer needed for a final model - will no longer be able
to increment the classifier after calling this.
- done() -
Method in class weka.classifiers.trees.LADTree
-
- doNotOperateOnPerClassBasisTipText() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Returns the tip text for this property.
- doNotReplaceMissingValuesTipText() -
Method in class weka.classifiers.functions.LibLINEAR
- Returns the tip text for this property
- doNotReplaceMissingValuesTipText() -
Method in class weka.classifiers.functions.LibSVM
- Returns the tip text for this property
- dontNormalizeTipText() -
Method in class weka.core.NormalizableDistance
- Returns the tip text for this property.
- dontReplaceMissingValuesTipText() -
Method in class weka.clusterers.SimpleKMeans
- Returns the tip text for this property
- doRun(int) -
Method in class weka.experiment.AveragingResultProducer
- Gets the results for a specified run number.
- doRun(int) -
Method in class weka.experiment.CrossValidationResultProducer
- Gets the results for a specified run number.
- doRun(int) -
Method in class weka.experiment.DatabaseResultProducer
- Gets the results for a specified run number.
- doRun(int) -
Method in class weka.experiment.LearningRateResultProducer
- Gets the results for a specified run number.
- doRun(int) -
Method in class weka.experiment.RandomSplitResultProducer
- Gets the results for a specified run number.
- doRun(int) -
Method in interface weka.experiment.ResultProducer
- Gets the results for a specified run number.
- doRunKeys(int) -
Method in class weka.experiment.AveragingResultProducer
- Gets the keys for a specified run number.
- doRunKeys(int) -
Method in class weka.experiment.CrossValidationResultProducer
- Gets the keys for a specified run number.
- doRunKeys(int) -
Method in class weka.experiment.DatabaseResultProducer
- Gets the keys for a specified run number.
- doRunKeys(int) -
Method in class weka.experiment.LearningRateResultProducer
- Gets the keys for a specified run number.
- doRunKeys(int) -
Method in class weka.experiment.RandomSplitResultProducer
- Gets the keys for a specified run number.
- doRunKeys(int) -
Method in interface weka.experiment.ResultProducer
- Gets the keys for a specified run number.
- doTests() -
Method in class weka.associations.CheckAssociator
- Begin the tests, reporting results to System.out
- doTests() -
Method in class weka.attributeSelection.CheckAttributeSelection
- Begin the tests, reporting results to System.out
- doTests() -
Method in class weka.classifiers.CheckClassifier
- Begin the tests, reporting results to System.out
- doTests() -
Method in class weka.classifiers.functions.supportVector.CheckKernel
- Begin the tests, reporting results to System.out
- doTests() -
Method in class weka.clusterers.CheckClusterer
- Begin the tests, reporting results to System.out
- doTests() -
Method in class weka.core.Check
- Begin the tests, reporting results to System.out
- doTests() -
Method in class weka.core.CheckGOE
- Runs some diagnostic tests on the object.
- doTests() -
Method in class weka.core.CheckOptionHandler
- Runs some diagnostic tests on an optionhandler object.
- doTests() -
Method in class weka.core.CheckScheme
- Begin the tests, reporting results to System.out
- doTests() -
Method in class weka.estimators.CheckEstimator
- Begin the tests, reporting results to System.out
- dotMultiply(AlgVector) -
Method in class weka.core.AlgVector
- Returns the inner (or dot) product of two vectors
- DotParser - Class in weka.gui.graphvisualizer
- This class parses input in DOT format, and
builds the datastructures that are passed to it.
- DotParser(Reader, FastVector, FastVector) -
Constructor for class weka.gui.graphvisualizer.DotParser
- Dot parser Constructor
- DOUBLE -
Static variable in class weka.experiment.DatabaseUtils
- Type mapping for DOUBLE used for reading experiment results.
- DOUBLE -
Static variable in interface weka.gui.graphvisualizer.GraphConstants
- Types of Edges
- doubleToString(double, int) -
Static method in class weka.core.Utils
- Rounds a double and converts it into String.
- doubleToString(double, int, int) -
Static method in class weka.core.Utils
- Rounds a double and converts it into a formatted decimal-justified String.
- DoubleVector - Class in weka.core.matrix
- A vector specialized on doubles.
- DoubleVector() -
Constructor for class weka.core.matrix.DoubleVector
- Constructs a null vector.
- DoubleVector(int) -
Constructor for class weka.core.matrix.DoubleVector
- Constructs an n-vector of zeros.
- DoubleVector(int, double) -
Constructor for class weka.core.matrix.DoubleVector
- Constructs a constant n-vector.
- DoubleVector(double[]) -
Constructor for class weka.core.matrix.DoubleVector
- Constructs a vector directly from a double array
- doubt(Instance, Instance) -
Static method in class weka.classifiers.misc.monotone.InstancesUtil
- Checks it two instances give rise to doubt.
- dp(String) -
Method in class weka.core.Debug.DBO
- prints out text if verbose is on.
- dp(int, String) -
Method in class weka.core.Debug.DBO
- prints out text but only if debug level is set.
- dpln(String) -
Method in class weka.core.Debug.DBO
- prints out text + endofline if verbose is on.
- dpln(int, String) -
Method in class weka.core.Debug.DBO
- prints out text + endofline but only if parameter debug type is set.
- draw(Shape) -
Method in class weka.gui.visualize.PostscriptGraphics
-
- draw3DRect(int, int, int, int, boolean) -
Method in class weka.gui.visualize.PostscriptGraphics
- Draw an outlined rectangle with 3D effect in current pen color.
- Drawable - Interface in weka.core
- Interface to something that can be drawn as a graph.
- drawArc(int, int, int, int, int, int) -
Method in class weka.gui.visualize.PostscriptGraphics
- Not implemented
- drawBytes(byte[], int, int, int, int) -
Method in class weka.gui.visualize.PostscriptGraphics
- simply calls drawString(String,int,int)
- drawChars(char[], int, int, int, int) -
Method in class weka.gui.visualize.PostscriptGraphics
- simply calls drawString(String,int,int)
- drawGlyphVector(GlyphVector, float, float) -
Method in class weka.gui.visualize.PostscriptGraphics
-
- drawHighlight(Graphics, int, int) -
Method in class weka.classifiers.functions.neural.NeuralConnection
- Call this function to draw the node highlighted.
- drawImage(Image, int, int, Color, ImageObserver) -
Method in class weka.gui.visualize.PostscriptGraphics
- calls drawImage(Image,int,int,int,int,Color,ImageObserver)
- drawImage(Image, int, int, ImageObserver) -
Method in class weka.gui.visualize.PostscriptGraphics
- calls drawImage(Image,int,int,Color,ImageObserver) with Color.WHITE as
background color
- drawImage(Image, int, int, int, int, Color, ImageObserver) -
Method in class weka.gui.visualize.PostscriptGraphics
- PS see http://astronomy.swin.edu.au/~pbourke/geomformats/postscript/
Java http://show.docjava.com:8086/book/cgij/doc/ip/graphics/SimpleImageFrame.java.html
- drawImage(Image, int, int, int, int, ImageObserver) -
Method in class weka.gui.visualize.PostscriptGraphics
- calls drawImage(Image,int,int,int,int,Color,ImageObserver) with the color
WHITE as background
- drawImage(Image, int, int, int, int, int, int, int, int, Color, ImageObserver) -
Method in class weka.gui.visualize.PostscriptGraphics
- Not implemented
- drawImage(Image, int, int, int, int, int, int, int, int, ImageObserver) -
Method in class weka.gui.visualize.PostscriptGraphics
- calls drawImage(Image,int,int,int,int,int,int,int,int,Color,ImageObserver)
with Color.WHITE as background color
- drawImage(BufferedImage, BufferedImageOp, int, int) -
Method in class weka.gui.visualize.PostscriptGraphics
-
- drawImage(Image, AffineTransform, ImageObserver) -
Method in class weka.gui.visualize.PostscriptGraphics
-
- drawInputLines(Graphics, int, int) -
Method in class weka.classifiers.functions.neural.NeuralConnection
- Call this function to draw the nodes input connections.
- drawLine(int, int, int, int) -
Method in class weka.gui.visualize.PostscriptGraphics
- Draw a line in current pen color.
- drawNode(Graphics, int, int) -
Method in class weka.classifiers.functions.neural.NeuralConnection
- Call this function to draw the node.
- drawOutputLines(Graphics, int, int) -
Method in class weka.classifiers.functions.neural.NeuralConnection
- Call this function to draw the nodes output connections.
- drawOval(int, int, int, int) -
Method in class weka.gui.visualize.PostscriptGraphics
- Draw an Oval outline in current pen color.
- drawPolygon(int[], int[], int) -
Method in class weka.gui.visualize.PostscriptGraphics
- Not implemented
- drawPolyline(int[], int[], int) -
Method in class weka.gui.visualize.PostscriptGraphics
- Not implemented
- drawRect(int, int, int, int) -
Method in class weka.gui.visualize.PostscriptGraphics
- Draw an outlined rectangle in current pen color.
- drawRenderableImage(RenderableImage, AffineTransform) -
Method in class weka.gui.visualize.PostscriptGraphics
-
- drawRenderedImage(RenderedImage, AffineTransform) -
Method in class weka.gui.visualize.PostscriptGraphics
-
- drawRoundRect(int, int, int, int, int, int) -
Method in class weka.gui.visualize.PostscriptGraphics
- Not implemented
- drawString(AttributedCharacterIterator, int, int) -
Method in class weka.gui.visualize.PostscriptGraphics
- Not implemented
- drawString(String, int, int) -
Method in class weka.gui.visualize.PostscriptGraphics
- Draw text in current pen color.
- drawString(AttributedCharacterIterator, float, float) -
Method in class weka.gui.visualize.PostscriptGraphics
-
- drawString(String, float, float) -
Method in class weka.gui.visualize.PostscriptGraphics
-
- DT_EUCLID -
Static variable in class weka.classifiers.misc.OLM
- Use the Euclidian distance whenever a nearest neighbour
rule is fired.
- DT_HAMMING -
Static variable in class weka.classifiers.misc.OLM
- Use the Hamming distance, this is the number of
positions in which the instances differ, whenever a
nearest neighbour rule is fired
- DT_NONE -
Static variable in class weka.classifiers.misc.OLM
- No nearest neighbour rule will be fired when
classifying an instance for which there is no smaller rule
in the rule base?
- DTD_ANY -
Static variable in class weka.core.xml.XMLDocument
- the ANY placeholder.
- DTD_AT_LEAST_ONE -
Static variable in class weka.core.xml.XMLDocument
- the at least one marker.
- DTD_ATTLIST -
Static variable in class weka.core.xml.XMLDocument
- the AttList definition.
- DTD_CDATA -
Static variable in class weka.core.xml.XMLDocument
- the CDATA placeholder.
- DTD_DOCTYPE -
Static variable in class weka.core.xml.XMLDocument
- the DocType definition.
- DTD_ELEMENT -
Static variable in class weka.core.xml.XMLDocument
- the Element definition.
- DTD_IMPLIED -
Static variable in class weka.core.xml.XMLDocument
- the #IMPLIED placeholder.
- DTD_OPTIONAL -
Static variable in class weka.core.xml.XMLDocument
- the optional marker.
- DTD_PCDATA -
Static variable in class weka.core.xml.XMLDocument
- the #PCDATA placeholder.
- DTD_REQUIRED -
Static variable in class weka.core.xml.XMLDocument
- the #REQUIRED placeholder.
- DTD_SEPARATOR -
Static variable in class weka.core.xml.XMLDocument
- the option separator.
- DTD_ZERO_OR_MORE -
Static variable in class weka.core.xml.XMLDocument
- the zero or more marker.
- DTNB - Class in weka.classifiers.rules
- Class for building and using a decision table/naive bayes hybrid classifier.
- DTNB() -
Constructor for class weka.classifiers.rules.DTNB
-
- dumpDistribution() -
Method in class weka.classifiers.trees.j48.Distribution
- Prints distribution.
- dumpLabel(int, Instances) -
Method in class weka.classifiers.trees.j48.ClassifierSplitModel
- Prints label for subset index of instances (eg class).
- dumpLabelG(int, Instances) -
Method in class weka.classifiers.trees.j48.GraftSplit
- Prints label for subset index of instances (eg class).
- dumpModel(Instances) -
Method in class weka.classifiers.trees.j48.ClassifierSplitModel
- Prints the split model.
enumerateRequests method here.
enumerateRequests method here.
enumerateRequests method here.
Enumeration
interface. EnumerationIterator on basis of on
Enumeration.
- Environment - Class in weka.core
- This class encapsulates a map of all environment and java system properties.
- Environment() -
Constructor for class weka.core.Environment
-
- EOF -
Static variable in interface weka.core.mathematicalexpression.sym
-
- EOF -
Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
-
- EOF_sym() -
Method in class weka.core.mathematicalexpression.Parser
EOF Symbol index.
- EOF_sym() -
Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
EOF Symbol index.
- EPSILON -
Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
-
- EPSILON -
Static variable in class weka.classifiers.misc.FLR
-
- epsilon -
Static variable in class weka.gui.ensembleLibraryEditor.tree.NumberNode
- This is the maximum floating point value that we care about when testing
for equality.
- epsilonParameterTipText() -
Method in class weka.attributeSelection.SVMAttributeEval
- Returns a tip text for this property suitable for display in the
GUI
- epsilonParameterTipText() -
Method in class weka.classifiers.functions.supportVector.RegOptimizer
- Returns the tip text for this property
- EpsilonRange_ListElement - Class in weka.clusterers.forOPTICSAndDBScan.Utils
-
EpsilonRange_ListElement.java
Authors: Rainer Holzmann, Zhanna Melnikova-Albrecht, Matthias Schubert
Date: Sep 7, 2004
Time: 2:12:34 PM
$ Revision 1.4 $
- EpsilonRange_ListElement(double, DataObject) -
Constructor for class weka.clusterers.forOPTICSAndDBScan.Utils.EpsilonRange_ListElement
- Constructs a new Element that is stored in the ArrayList which is
built in the k_nextNeighbourQuery-method from a specified database.
- epsilonRangeQuery(double, DataObject) -
Method in interface weka.clusterers.forOPTICSAndDBScan.Databases.Database
- Performs an epsilon range query for this dataObject
- epsilonRangeQuery(double, DataObject) -
Method in class weka.clusterers.forOPTICSAndDBScan.Databases.SequentialDatabase
- Performs an epsilon range query for this dataObject
- epsilonTipText() -
Method in class weka.classifiers.functions.SMO
- Returns the tip text for this property
- epsilonTipText() -
Method in class weka.classifiers.functions.SMOreg
- Returns the tip text for this property
- epsilonTipText() -
Method in class weka.classifiers.functions.supportVector.RegSMO
- Returns the tip text for this property
- epsilonTipText() -
Method in class weka.classifiers.mi.MISMO
- Returns the tip text for this property
- epsilonTipText() -
Method in class weka.clusterers.DBScan
- Returns the tip text for this property
- epsilonTipText() -
Method in class weka.clusterers.OPTICS
- Returns the tip text for this property
- epsTipText() -
Method in class weka.classifiers.functions.LibLINEAR
- Returns the tip text for this property
- epsTipText() -
Method in class weka.classifiers.functions.LibSVM
- Returns the tip text for this property
- epsTipText() -
Method in class weka.classifiers.functions.SMOreg
- Returns the tip text for this property
- EQ -
Static variable in interface weka.core.mathematicalexpression.sym
-
- eq(double, double) -
Static method in class weka.core.Utils
- Tests if a is equal to b.
- EQ -
Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
-
- equalCondset(Object) -
Method in class weka.associations.LabeledItemSet
- Compares two item sets
- equalExemplars(Instance, Instance) -
Method in class weka.classifiers.mi.CitationKNN
- Wether the instances of two exemplars are or are not equal
- equalHeaders(Instance) -
Method in class weka.core.Instance
- Tests if the headers of two instances are equivalent.
- equalHeaders(Instances) -
Method in class weka.core.Instances
- Checks if two headers are equivalent.
- equalIgnoreClass(Instance, Instance) -
Static method in class weka.classifiers.misc.monotone.InstancesUtil
- Compares two instances, ignoring the class attribute (if any)
- equals(Object) -
Method in class weka.associations.AssociatorEvaluation
- Tests whether the current evaluation object is equal to another
evaluation object
- equals(Object) -
Method in class weka.associations.gsp.Element
- Checks if two Elements are equal.
- equals(Object) -
Method in class weka.associations.gsp.Sequence
- Checks if two Sequences are equal.
- equals(Object) -
Method in class weka.associations.ItemSet
- Tests if two item sets are equal.
- equals(Object) -
Method in class weka.associations.LabeledItemSet
- Tests if two item sets are equal.
- equals(Object) -
Method in class weka.associations.RuleItem
- returns whether two RuleItems are equal
- equals(Object) -
Method in class weka.attributeSelection.ConsistencySubsetEval.hashKey
- Tests if two instances are equal
- equals(Object) -
Method in class weka.classifiers.Evaluation
- Tests whether the current evaluation object is equal to another
evaluation object
- equals(Object) -
Method in class weka.classifiers.functions.supportVector.KernelEvaluation
- Tests whether the current evaluation object is equal to another
evaluation object
- equals(Object) -
Method in class weka.classifiers.misc.monotone.Coordinates
- Indicates if the object
o equals this.
- equals(Object) -
Method in class weka.classifiers.misc.monotone.CumulativeDiscreteDistribution
- Indicates if the object
o equals this.
- equals(Object) -
Method in class weka.classifiers.rules.DecisionTableHashKey
- Tests if two instances are equal
- equals(Object) -
Method in class weka.clusterers.ClusterEvaluation
- Tests whether the current evaluation object is equal to another
evaluation object
- equals(DataObject) -
Method in interface weka.clusterers.forOPTICSAndDBScan.DataObjects.DataObject
- Compares two DataObjects in respect to their attribute-values
- equals(DataObject) -
Method in class weka.clusterers.forOPTICSAndDBScan.DataObjects.EuclidianDataObject
- Compares two DataObjects in respect to their attribute-values
- equals(DataObject) -
Method in class weka.clusterers.forOPTICSAndDBScan.DataObjects.ManhattanDataObject
- Compares two DataObjects in respect to their attribute-values
- equals(Object) -
Method in class weka.core.Attribute
- Tests if given attribute is equal to this attribute.
- equals(Object) -
Method in class weka.core.AttributeLocator
- Indicates whether some other object is "equal to" this one.
- equals(Object) -
Method in class weka.core.ClassDiscovery.StringCompare
- Indicates whether some other object is "equal to" this Comparator.
- equals(Object) -
Method in class weka.core.SelectedTag
- Returns true if this SelectedTag equals another object
- equals(Object) -
Method in class weka.core.SerializedObject
-
- equals(Object) -
Method in class weka.core.Trie
- Compares the specified object with this collection for equality.
- equals(Object) -
Method in class weka.core.Trie.TrieNode
- Indicates whether some other object is "equal to" this one.
- equals(Object) -
Method in class weka.core.Version
- whether the given version string is equal to this version
- equals(Object) -
Method in class weka.estimators.Estimator
- Tests whether the current estimation object is equal to another
estimation object
- equals(Number, Number) -
Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode
- tests for equality among two objects that are instances of one of the
child classes of java.lang.Number
- equals(Object) -
Method in class weka.gui.graphvisualizer.GraphEdge
-
- equals(Object) -
Method in class weka.gui.graphvisualizer.GraphNode
- Returns true if passed in argument is an instance
of GraphNode and is equal to this node.
- equalTo(Splitter) -
Method in class weka.classifiers.trees.adtree.Splitter
- Tests whether two splitters are equivalent.
- equalTo(Splitter) -
Method in class weka.classifiers.trees.adtree.TwoWayNominalSplit
- Tests whether two splitters are equivalent.
- equalTo(Splitter) -
Method in class weka.classifiers.trees.adtree.TwoWayNumericSplit
- Tests whether two splitters are equivalent.
- equalTo(Test) -
Method in class weka.datagenerators.Test
- Compares the test with the test that is given as parameter.
- equivalentTipText() -
Method in class weka.associations.Tertius
- Returns the tip text for this property.
- equivalentTo(Rule) -
Method in class weka.associations.tertius.Rule
- Test if this rule is equivalent to another rule.
- errms(StreamTokenizer, String) -
Static method in class weka.core.converters.ConverterUtils
- Throws error message with line number and last token read.
- error() -
Method in class weka.classifiers.evaluation.NumericPrediction
- Calculates the prediction error.
- error -
Static variable in interface weka.core.mathematicalexpression.sym
-
- error -
Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
-
- ERROR_SHAPE -
Static variable in class weka.gui.visualize.Plot2D
-
- error_sym() -
Method in class weka.core.mathematicalexpression.Parser
error Symbol index.
- error_sym() -
Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
error Symbol index.
- ErrorBasedMeritEvaluator - Interface in weka.attributeSelection
- Interface for evaluators that calculate the "merit" of attributes/subsets
as the error of a learning scheme
- errorOnProbabilitiesTipText() -
Method in class weka.classifiers.functions.SimpleLogistic
- Returns the tip text for this property
- errorOnProbabilitiesTipText() -
Method in class weka.classifiers.trees.FT
- Returns the tip text for this property
- errorOnProbabilitiesTipText() -
Method in class weka.classifiers.trees.LMT
- Returns the tip text for this property
- errorRate() -
Method in class weka.classifiers.evaluation.ConfusionMatrix
- Returns the estimated error rate.
- errorRate() -
Method in class weka.classifiers.Evaluation
- Returns the estimated error rate or the root mean squared error
(if the class is numeric).
- errorValue(NeuralNode) -
Method in class weka.classifiers.functions.neural.LinearUnit
- This function calculates what the error value should be.
- errorValue(boolean) -
Method in class weka.classifiers.functions.neural.NeuralConnection
- Call this to get the error value of this unit.
- errorValue(NeuralNode) -
Method in interface weka.classifiers.functions.neural.NeuralMethod
- This function calculates what the error value should be.
- errorValue(boolean) -
Method in class weka.classifiers.functions.neural.NeuralNode
- Call this to get the error value of this unit.
- errorValue(NeuralNode) -
Method in class weka.classifiers.functions.neural.SigmoidUnit
- This function calculates what the error value should be.
- estimateCPTs() -
Method in class weka.classifiers.bayes.BayesNet
- estimateCPTs estimates the conditional probability tables for the Bayes
Net using the network structure.
- estimateCPTs(BayesNet) -
Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
- estimateCPTs estimates the conditional probability tables for the Bayes
Net using the network structure.
- estimateCPTs(BayesNet) -
Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
- estimateCPTs estimates the conditional probability tables for the Bayes
Net using the network structure.
- estimateCPTs(BayesNet) -
Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
- estimateCPTs estimates the conditional probability tables for the Bayes
Net using the network structure.
- estimateCPTs(BayesNet) -
Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
- estimateCPTs estimates the conditional probability tables for the Bayes
Net using the network structure.
- estimatePrior() -
Method in class weka.associations.PriorEstimation
- Method to estimate the prior probabilities
- Estimator - Class in weka.estimators
- Abstract class for all estimators.
- Estimator() -
Constructor for class weka.estimators.Estimator
-
- estimatorTipText() -
Method in class weka.classifiers.bayes.BayesNet
- This will return a string describing the BayesNetEstimator.
- estimatorTipText() -
Method in class weka.classifiers.functions.PaceRegression
- Returns the tip text for this property
- EstimatorUtils - Class in weka.estimators
- Contains static utility functions for Estimators.
- EstimatorUtils() -
Constructor for class weka.estimators.EstimatorUtils
-
- ET_BOTH -
Static variable in class weka.classifiers.misc.OLM
- Combine both the minimal and maximal extension, and use the
midpoint of the resulting interval as prediction.
- ET_MAX -
Static variable in class weka.classifiers.misc.OLM
- Use only the maximal extension.
- ET_MIN -
Static variable in class weka.classifiers.misc.OLM
- Use only the minimal extension, as in the original algorithm
of Ben-David.
- EuclideanDistance - Class in weka.core
- Implementing Euclidean distance (or similarity) function.
One object defines not one distance but the data model in which the distances between objects of that data model can be computed.
Attention: For efficiency reasons the use of consistency checks (like are the data models of the two instances exactly the same), is low.
For more information, see:
Wikipedia. - EuclideanDistance() -
Constructor for class weka.core.EuclideanDistance
- Constructs an Euclidean Distance object, Instances must be still set.
- EuclideanDistance(Instances) -
Constructor for class weka.core.EuclideanDistance
- Constructs an Euclidean Distance object and automatically initializes the
ranges.
- EuclidianDataObject - Class in weka.clusterers.forOPTICSAndDBScan.DataObjects
-
EuclidianDataObject.java
Authors: Rainer Holzmann, Zhanna Melnikova-Albrecht, Matthias Schubert
Date: Aug 19, 2004
Time: 5:50:22 PM
$ Revision 1.4 $
- EuclidianDataObject(Instance, String, Database) -
Constructor for class weka.clusterers.forOPTICSAndDBScan.DataObjects.EuclidianDataObject
- Constructs a new DataObject.
- eval(int, int, Instance) -
Method in class weka.classifiers.functions.supportVector.CachedKernel
- Implements the abstract function of Kernel using the cache.
- eval(int, int, Instance) -
Method in class weka.classifiers.functions.supportVector.Kernel
- Computes the result of the kernel function for two instances.
- eval(int, int, Instance) -
Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
- Computes the result of the kernel function for two instances.
- eval(int, int, Instance) -
Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
-
- eval(int, int, Instance) -
Method in class weka.classifiers.functions.supportVector.StringKernel
- Computes the result of the kernel function for two instances.
- EVAL_ACCURACY -
Static variable in class weka.classifiers.rules.DecisionTable
-
- EVAL_AUC -
Static variable in class weka.classifiers.rules.DecisionTable
-
- EVAL_CROSS_VALIDATION -
Static variable in class weka.classifiers.meta.ThresholdSelector
- n-fold cross-validation
- EVAL_DEFAULT -
Static variable in class weka.classifiers.rules.DecisionTable
- default is accuracy for discrete class and RMSE for numeric class
- EVAL_MAE -
Static variable in class weka.classifiers.rules.DecisionTable
-
- EVAL_RMSE -
Static variable in class weka.classifiers.rules.DecisionTable
-
- EVAL_TRAINING_SET -
Static variable in class weka.classifiers.meta.ThresholdSelector
- entire training set
- EVAL_TUNED_SPLIT -
Static variable in class weka.classifiers.meta.ThresholdSelector
- single tuned fold
- evalBoolean(String) -
Method in class weka.core.xml.XMLDocument
- Evaluates and returns the boolean result of the XPath expression.
- evalDouble(String) -
Method in class weka.core.xml.XMLDocument
- Evaluates and returns the double result of the XPath expression.
- evalString(String) -
Method in class weka.core.xml.XMLDocument
- Evaluates and returns the boolean result of the XPath expression.
- evaluate(String, String[]) -
Static method in class weka.associations.AssociatorEvaluation
- Evaluates an associator with the options given in an array of strings.
- evaluate(Associator, String[]) -
Static method in class weka.associations.AssociatorEvaluation
- Evaluates the associator with the given commandline options and returns
the evaluation string.
- evaluate(Associator, Instances) -
Method in class weka.associations.AssociatorEvaluation
- Evaluates the associator with the given commandline options and returns
the evaluation string.
- evaluate(Kernel, String[]) -
Static method in class weka.classifiers.functions.supportVector.KernelEvaluation
- Evaluates the Kernel with the given commandline options and returns
the evaluation string.
- evaluate(String, String[]) -
Static method in class weka.classifiers.functions.supportVector.KernelEvaluation
- Evaluates a kernel with the options given in an array of strings.
- evaluate(Kernel, Instances) -
Method in class weka.classifiers.functions.supportVector.KernelEvaluation
- Evaluates the Kernel with the given commandline options and returns
the evaluation string.
- evaluate(String, HashMap) -
Static method in class weka.core.MathematicalExpression
- Parses and evaluates the given expression.
- evaluateAttribute(int) -
Method in interface weka.attributeSelection.AttributeEvaluator
- evaluates an individual attribute
- evaluateAttribute(int) -
Method in class weka.attributeSelection.AttributeSetEvaluator
- evaluates an individual attribute
- evaluateAttribute(int[], int[]) -
Method in class weka.attributeSelection.AttributeSetEvaluator
- Evaluates a set of attributes
- evaluateAttribute(int) -
Method in class weka.attributeSelection.ChiSquaredAttributeEval
- evaluates an individual attribute by measuring its
chi-squared value.
- evaluateAttribute(int) -
Method in class weka.attributeSelection.CostSensitiveAttributeEval
- Evaluates an individual attribute.
- evaluateAttribute(int) -
Method in class weka.attributeSelection.FilteredAttributeEval
- Evaluates an individual attribute by delegating to the base
evaluator.
- evaluateAttribute(int) -
Method in class weka.attributeSelection.GainRatioAttributeEval
- evaluates an individual attribute by measuring the gain ratio
of the class given the attribute.
- evaluateAttribute(int) -
Method in class weka.attributeSelection.InfoGainAttributeEval
- evaluates an individual attribute by measuring the amount
of information gained about the class given the attribute.
- evaluateAttribute(int) -
Method in class weka.attributeSelection.LatentSemanticAnalysis
- Evaluates the merit of a transformed attribute.
- evaluateAttribute(int) -
Method in class weka.attributeSelection.OneRAttributeEval
- evaluates an individual attribute by measuring the amount
of information gained about the class given the attribute.
- evaluateAttribute(int) -
Method in class weka.attributeSelection.PrincipalComponents
- Evaluates the merit of a transformed attribute.
- evaluateAttribute(int) -
Method in class weka.attributeSelection.ReliefFAttributeEval
- Evaluates an individual attribute using ReliefF's instance based approach.
- evaluateAttribute(int) -
Method in class weka.attributeSelection.SVMAttributeEval
- Evaluates an attribute by returning the rank of the square of its coefficient in a
linear support vector machine.
- evaluateAttribute(int) -
Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
- evaluates an individual attribute by measuring the symmetrical
uncertainty between it and the class.
- evaluateAttribute(int) -
Method in class weka.attributeSelection.SymmetricalUncertAttributeSetEval
- evaluates an individual attribute by measuring the symmetrical
uncertainty between it and the class.
- evaluateAttribute(int[], int[]) -
Method in class weka.attributeSelection.SymmetricalUncertAttributeSetEval
- calculate symmetrical uncertainty between sets of attributes
- evaluateClusterer(Instances) -
Method in class weka.clusterers.ClusterEvaluation
- Evaluate the clusterer on a set of instances.
- evaluateClusterer(Instances, String) -
Method in class weka.clusterers.ClusterEvaluation
- Evaluate the clusterer on a set of instances.
- evaluateClusterer(Clusterer, String[]) -
Static method in class weka.clusterers.ClusterEvaluation
- Evaluates a clusterer with the options given in an array of
strings.
- evaluateExpression(Instance) -
Method in class weka.core.AttributeExpression
- Evaluate the expression using the supplied Instance.
- evaluateExpression(double[]) -
Method in class weka.core.AttributeExpression
- Evaluate the expression using the supplied array of attribute values.
- evaluateModel(String, String[]) -
Static method in class weka.classifiers.Evaluation
- Evaluates a classifier with the options given in an array of
strings.
- evaluateModel(Classifier, String[]) -
Static method in class weka.classifiers.Evaluation
- Evaluates a classifier with the options given in an array of
strings.
- evaluateModel(Classifier, Instances, Object...) -
Method in class weka.classifiers.Evaluation
- Evaluates the classifier on a given set of instances.
- evaluateModelOnce(Classifier, Instance) -
Method in class weka.classifiers.Evaluation
- Evaluates the classifier on a single instance.
- evaluateModelOnce(double[], Instance) -
Method in class weka.classifiers.Evaluation
- Evaluates the supplied distribution on a single instance.
- evaluateModelOnce(double, Instance) -
Method in class weka.classifiers.Evaluation
- Evaluates the supplied prediction on a single instance.
- evaluateModelOnceAndRecordPrediction(Classifier, Instance) -
Method in class weka.classifiers.Evaluation
- Evaluates the classifier on a single instance and records the
prediction (if the class is nominal).
- evaluateModelOnceAndRecordPrediction(double[], Instance) -
Method in class weka.classifiers.Evaluation
- Evaluates the supplied distribution on a single instance.
- evaluateSubset(BitSet) -
Method in class weka.attributeSelection.CfsSubsetEval
- evaluates a subset of attributes
- evaluateSubset(BitSet) -
Method in class weka.attributeSelection.ClassifierSubsetEval
- Evaluates a subset of attributes
- evaluateSubset(BitSet, Instances) -
Method in class weka.attributeSelection.ClassifierSubsetEval
- Evaluates a subset of attributes with respect to a set of instances.
- evaluateSubset(BitSet, Instance, boolean) -
Method in class weka.attributeSelection.ClassifierSubsetEval
- Evaluates a subset of attributes with respect to a single instance.
- evaluateSubset(BitSet) -
Method in class weka.attributeSelection.ConsistencySubsetEval
- Evaluates a subset of attributes
- evaluateSubset(BitSet) -
Method in class weka.attributeSelection.CostSensitiveSubsetEval
- Evaluates a subset of attributes.
- evaluateSubset(BitSet) -
Method in class weka.attributeSelection.FilteredSubsetEval
- evaluates a subset of attributes
- evaluateSubset(BitSet, Instances) -
Method in class weka.attributeSelection.HoldOutSubsetEvaluator
- Evaluates a subset of attributes with respect to a set of instances.
- evaluateSubset(BitSet, Instance, boolean) -
Method in class weka.attributeSelection.HoldOutSubsetEvaluator
- Evaluates a subset of attributes with respect to a single instance.
- evaluateSubset(BitSet) -
Method in interface weka.attributeSelection.SubsetEvaluator
- evaluates a subset of attributes
- evaluateSubset(BitSet) -
Method in class weka.attributeSelection.WrapperSubsetEval
- Evaluates a subset of attributes
- Evaluation - Class in weka.classifiers
- Class for evaluating machine learning models.
- Evaluation(Instances) -
Constructor for class weka.classifiers.Evaluation
- Initializes all the counters for the evaluation.
- Evaluation(Instances, CostMatrix) -
Constructor for class weka.classifiers.Evaluation
- Initializes all the counters for the evaluation and also takes a
cost matrix as parameter.
- EVALUATION_ACC -
Static variable in class weka.classifiers.meta.GridSearch
- evaluation via: Accuracy
- EVALUATION_CC -
Static variable in class weka.classifiers.meta.GridSearch
- evaluation via: Correlation coefficient
- EVALUATION_COMBINED -
Static variable in class weka.classifiers.meta.GridSearch
- evaluation via: Combined = (1-CC) + RRSE + RAE
- EVALUATION_KAPPA -
Static variable in class weka.classifiers.meta.GridSearch
- evaluation via: kappa statistic
- EVALUATION_MAE -
Static variable in class weka.classifiers.meta.GridSearch
- evaluation via: Mean absolute error
- EVALUATION_RAE -
Static variable in class weka.classifiers.meta.GridSearch
- evaluation via: Relative absolute error
- EVALUATION_RMSE -
Static variable in class weka.classifiers.meta.GridSearch
- evaluation via: Root mean squared error
- EVALUATION_RRSE -
Static variable in class weka.classifiers.meta.GridSearch
- evaluation via: Root relative squared error
- evaluationMeasureTipText() -
Method in class weka.classifiers.rules.DecisionTable
- Returns the tip text for this property
- evaluationModeTipText() -
Method in class weka.classifiers.meta.ThresholdSelector
-
- evaluationTipText() -
Method in class weka.classifiers.meta.GridSearch
- Returns the tip text for this property
- EvaluationUtils - Class in weka.classifiers.evaluation
- Contains utility functions for generating lists of predictions in
various manners.
- EvaluationUtils() -
Constructor for class weka.classifiers.evaluation.EvaluationUtils
-
- evaluatorTipText() -
Method in class weka.attributeSelection.CostSensitiveASEvaluation
- Returns the tip text for this property
- evaluatorTipText() -
Method in class weka.classifiers.meta.AttributeSelectedClassifier
- Returns the tip text for this property
- evaluatorTipText() -
Method in class weka.filters.supervised.attribute.AttributeSelection
- Returns the tip text for this property
- evalUsingTrainingDataTipText() -
Method in class weka.attributeSelection.OneRAttributeEval
- Returns a string for this option suitable for display in the gui
as a tip text
- EventConstraints - Interface in weka.gui.beans
- Interface for objects that want to be able to specify at any given
time whether their current configuration allows a particular event
to be generated.
- eventGeneratable(EventSetDescriptor) -
Method in class weka.gui.beans.Associator
- Returns true, if at the current time, the event described by the
supplied event descriptor could be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.Associator
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.ClassAssigner
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(EventSetDescriptor) -
Method in class weka.gui.beans.Classifier
- Returns true, if at the current time, the event described by the
supplied event descriptor could be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.Classifier
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.ClassifierPerformanceEvaluator
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.ClassValuePicker
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(EventSetDescriptor) -
Method in class weka.gui.beans.Clusterer
- Returns true, if at the current time, the event described by the
supplied event descriptor could be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.Clusterer
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.ClustererPerformanceEvaluator
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.CrossValidationFoldMaker
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(String) -
Method in interface weka.gui.beans.EventConstraints
- Returns true if, at the current time, the named event could be
generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.Filter
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.IncrementalClassifierEvaluator
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.InstanceStreamToBatchMaker
- Returns true if, at the current time, the named event could be
generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.Loader
- Returns true if the named event can be generated at this time
- eventGeneratable(EventSetDescriptor) -
Method in class weka.gui.beans.MetaBean
- Returns true, if at the current time, the event described by the
supplied event descriptor could be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.MetaBean
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.PredictionAppender
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.TestSetMaker
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.TextViewer
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.TrainingSetMaker
- Returns true, if at the current time, the named event could
be generated.
- eventGeneratable(String) -
Method in class weka.gui.beans.TrainTestSplitMaker
- Returns true, if at the current time, the named event could
be generated.
- EXCLUDE_OPTIONS -
Variable in class weka.gui.ensembleLibraryEditor.DefaultModelsPanel
- options to exclude
- exclusiveTipText() -
Method in class weka.classifiers.rules.ConjunctiveRule
- Returns the tip text for this property
- execute() -
Method in class weka.classifiers.CheckSource
- performs the comparison test
- execute(String) -
Method in class weka.experiment.DatabaseUtils
- Executes a SQL query.
- execute() -
Method in class weka.experiment.RemoteExperimentSubTask
- Run the experiment
- execute() -
Method in interface weka.experiment.Task
- Execute this task.
- execute() -
Method in class weka.filters.CheckSource
- performs the comparison test
- execute() -
Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
- Perform the sub task
- execute() -
Method in class weka.gui.explorer.DataGeneratorPanel
- generates the instances, returns TRUE if successful
- execute() -
Method in class weka.gui.GenericPropertiesCreator
- generates the props-file for the GenericObjectEditor and stores it
- execute(boolean) -
Method in class weka.gui.GenericPropertiesCreator
- generates the props-file for the GenericObjectEditor and stores it only
if the the param
store is TRUE.
- execute() -
Method in class weka.gui.sql.QueryPanel
- executes the current query.
- executeTask(Task) -
Method in interface weka.experiment.Compute
- Execute a task
- executeTask(Task) -
Method in class weka.experiment.RemoteEngine
- Takes a task object and queues it for execution
- ExhaustiveSearch - Class in weka.attributeSelection
- ExhaustiveSearch :
Performs an exhaustive search through the space of attribute subsets starting from the empty set of attrubutes. - ExhaustiveSearch() -
Constructor for class weka.attributeSelection.ExhaustiveSearch
- Constructor
- exists(TechnicalInformation.Field) -
Method in class weka.core.TechnicalInformation
- returns TRUE if the field is stored and has a value different from the
empty string.
- EXP -
Static variable in interface weka.core.mathematicalexpression.sym
-
- EXP -
Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
-
- EXP_INDEX_TABLE -
Static variable in class weka.experiment.DatabaseUtils
- The name of the table containing the index to experiments.
- EXP_RESULT_COL -
Static variable in class weka.experiment.DatabaseUtils
- The name of the column containing the results table name.
- EXP_RESULT_PREFIX -
Static variable in class weka.experiment.DatabaseUtils
- The prefix for result table names.
- EXP_SETUP_COL -
Static variable in class weka.experiment.DatabaseUtils
- The name of the column containing the experiment setup (parameters).
- EXP_TYPE_COL -
Static variable in class weka.experiment.DatabaseUtils
- The name of the column containing the experiment type (ResultProducer).
- expectation(double, int, double[], Hashtable) -
Static method in class weka.associations.RuleGeneration
- calculates the expected predctive accuracy of a rule
- expectedCosts(double[]) -
Method in class weka.classifiers.CostMatrix
- Calculates the expected misclassification cost for each possible class value,
given class probability estimates.
- expectedCosts(double[], Instance) -
Method in class weka.classifiers.CostMatrix
- Calculates the expected misclassification cost for each possible class value,
given class probability estimates.
- expectedResultsPerAverageTipText() -
Method in class weka.experiment.AveragingResultProducer
- Returns the tip text for this property
- Experiment - Class in weka.experiment
- Holds all the necessary configuration information for a standard
type experiment.
- Experiment() -
Constructor for class weka.experiment.Experiment
-
- Experimenter - Class in weka.gui.experiment
- The main class for the experiment environment.
- Experimenter(boolean) -
Constructor for class weka.gui.experiment.Experimenter
- Creates the experiment environment gui with no initial experiment
- ExperimenterDefaults - Class in weka.gui.experiment
- This class offers get methods for the default Experimenter settings in
the props file
weka/gui/experiment/Experimenter.props. - ExperimenterDefaults() -
Constructor for class weka.gui.experiment.ExperimenterDefaults
-
- experimentIndexExists() -
Method in class weka.experiment.DatabaseUtils
- Returns true if the experiment index exists.
- EXPLICIT -
Static variable in class weka.associations.Tertius
- Way of handling missing values: min counterinstances
- Explorer - Class in weka.gui.explorer
- The main class for the Weka explorer.
- Explorer() -
Constructor for class weka.gui.explorer.Explorer
- Creates the experiment environment gui with no initial experiment
- Explorer.CapabilitiesFilterChangeEvent - Class in weka.gui.explorer
- This event can be fired in case the capabilities filter got changed
- Explorer.CapabilitiesFilterChangeEvent(Object, Capabilities) -
Constructor for class weka.gui.explorer.Explorer.CapabilitiesFilterChangeEvent
- Constructs a GOECapabilitiesFilterChangeEvent object.
- Explorer.CapabilitiesFilterChangeListener - Interface in weka.gui.explorer
- Interface for classes that listen for filter changes.
- Explorer.ExplorerPanel - Interface in weka.gui.explorer
- A common interface for panels to be displayed in the Explorer
- Explorer.LogHandler - Interface in weka.gui.explorer
- A common interface for panels in the explorer that can handle logs
- ExplorerDefaults - Class in weka.gui.explorer
- This class offers get methods for the default Explorer settings in
the props file
weka/gui/explorer/Explorer.props. - ExplorerDefaults() -
Constructor for class weka.gui.explorer.ExplorerDefaults
-
- ExponentialFormat - Class in weka.core.matrix
-
- ExponentialFormat() -
Constructor for class weka.core.matrix.ExponentialFormat
-
- ExponentialFormat(int) -
Constructor for class weka.core.matrix.ExponentialFormat
-
- ExponentialFormat(int, boolean) -
Constructor for class weka.core.matrix.ExponentialFormat
-
- ExponentialFormat(int, int, boolean, boolean) -
Constructor for class weka.core.matrix.ExponentialFormat
-
- exponentTipText() -
Method in class weka.classifiers.functions.supportVector.PolyKernel
- Returns the tip text for this property
- exponentTipText() -
Method in class weka.classifiers.functions.VotedPerceptron
- Returns the tip text for this property
- Expression - Class in weka.core.pmml
-
- Expression(FieldMetaInfo.Optype, ArrayList<Attribute>) -
Constructor for class weka.core.pmml.Expression
-
- Expression - Class in weka.datagenerators.classifiers.regression
- A data generator for generating y according to a given expression out of randomly generated x.
E.g., the mexican hat can be generated like this:
sin(abs(a1)) / abs(a1)
In addition to this function, the amplitude can be changed and gaussian noise can be added. - Expression() -
Constructor for class weka.datagenerators.classifiers.regression.Expression
- initializes the generator
- expressionTipText() -
Method in class weka.datagenerators.classifiers.regression.Expression
- Returns the tip text for this property
- expressionTipText() -
Method in class weka.filters.unsupervised.attribute.AddExpression
- Returns the tip text for this property
- expressionTipText() -
Method in class weka.filters.unsupervised.attribute.MathExpression
- Returns the tip text for this property
- expressionTipText() -
Method in class weka.filters.unsupervised.instance.SubsetByExpression
- Returns the tip text for this property.
- ExtensionFileFilter - Class in weka.gui
- Provides a file filter for FileChoosers that accepts or rejects files
based on their extension.
- ExtensionFileFilter(String, String) -
Constructor for class weka.gui.ExtensionFileFilter
- Creates the ExtensionFileFilter
- ExtensionFileFilter(String[], String) -
Constructor for class weka.gui.ExtensionFileFilter
- Creates an ExtensionFileFilter that accepts files that have any of
the extensions contained in the supplied array.
- extensionTypeTipText() -
Method in class weka.classifiers.misc.OLM
- Returns the tip text for this property.
- extraArcs(BayesNet) -
Method in class weka.classifiers.bayes.net.BIFReader
- Count nr of exta arcs from other network compared to current network
Note that an arc is not 'extra' if it is reversed.
- extract(RevisionHandler) -
Static method in class weka.core.RevisionUtils
- Extracts the revision string returned by the RevisionHandler.
- extract(String) -
Static method in class weka.core.RevisionUtils
- Extracts the revision string.
- extractFilterAttributes(String) -
Method in class weka.associations.GeneralizedSequentialPatterns
- Parses a given String containing attribute numbers which are used for
result filtering.
- extremeValuesAsOutliersTipText() -
Method in class weka.filters.unsupervised.attribute.InterquartileRange
- Returns the tip text for this property
- extremeValuesFactorTipText() -
Method in class weka.filters.unsupervised.attribute.InterquartileRange
- Returns the tip text for this property
readFromXML() of the XMLSerialiation class.
writeToXML() of the XMLSerialiation class.
GenericObjectEditor.props file (= PROPERTY_FILE).ConfusionMatrix representing the current
two-class statistics, using class names "negative" and "positive".
trim() on the result).
index.
- getCurrent() -
Method in class weka.core.Memory
- returns the current memory consumption
- getCurrentDatasetNumber() -
Method in class weka.experiment.Experiment
- When an experiment is running, this returns the current dataset number.
- getCurrentDir() -
Static method in class weka.core.Debug
- returns the current working directory of the user
- getCurrentFilename() -
Method in class weka.gui.arffviewer.ArffViewerMainPanel
- returns the filename of the current tab
- getCurrentIndex() -
Method in class weka.gui.arffviewer.ArffViewerMainPanel
- returns the currently selected tab index
- getCurrentInstance() -
Method in class weka.gui.beans.IncrementalClassifierEvent
- Get the current instance
- getCurrentModel() -
Method in class weka.classifiers.misc.SerializedClassifier
- Gets the currently loaded model (can be null).
- getCurrentPanel() -
Method in class weka.gui.arffviewer.ArffViewerMainPanel
- returns the currently selected panel
- getCurrentPropertyNumber() -
Method in class weka.experiment.Experiment
- When an experiment is running, this returns the index of the
current custom property value.
- getCurrentRunNumber() -
Method in class weka.experiment.Experiment
- When an experiment is running, this returns the current run number.
- getCurve(FastVector) -
Method in class weka.classifiers.evaluation.CostCurve
- Calculates the performance stats for the default class and return
results as a set of Instances.
- getCurve(FastVector, int) -
Method in class weka.classifiers.evaluation.CostCurve
- Calculates the performance stats for the desired class and return
results as a set of Instances.
- getCurve(FastVector) -
Method in class weka.classifiers.evaluation.MarginCurve
- Calculates the cumulative margin distribution for the set of
predictions, returning the result as a set of Instances.
- getCurve(FastVector) -
Method in class weka.classifiers.evaluation.ThresholdCurve
- Calculates the performance stats for the default class and return
results as a set of Instances.
- getCurve(FastVector, int) -
Method in class weka.classifiers.evaluation.ThresholdCurve
- Calculates the performance stats for the desired class and return
results as a set of Instances.
- getCustomEditor() -
Method in class weka.gui.CostMatrixEditor
- Gets a GUI component with which the user can edit the cost matrix.
- getCustomEditor() -
Method in class weka.gui.EnsembleLibraryEditor
- Gets a GUI component with which the user can edit the cost matrix.
- getCustomEditor() -
Method in class weka.gui.EnsembleSelectionLibraryEditor
- Gets a GUI component with which the user can edit the cost matrix.
- getCustomEditor() -
Method in class weka.gui.FileEditor
- Gets the custom editor component.
- getCustomEditor() -
Method in class weka.gui.GenericArrayEditor
- Returns the array editing component.
- getCustomEditor() -
Method in class weka.gui.GenericObjectEditor
- Returns the array editing component.
- getCustomEditor() -
Method in class weka.gui.SimpleDateFormatEditor
- Gets a GUI component with which the user can edit the date format.
- getCustomHeight() -
Method in class weka.gui.visualize.JComponentWriter
- gets the custom height currently used
- getCustomName() -
Method in class weka.gui.beans.Associator
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in interface weka.gui.beans.BeanCommon
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.ClassAssigner
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.Classifier
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.ClassifierPerformanceEvaluator
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.ClassValuePicker
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.Clusterer
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.ClustererPerformanceEvaluator
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.CrossValidationFoldMaker
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.Filter
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.IncrementalClassifierEvaluator
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.InstanceStreamToBatchMaker
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.Loader
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.MetaBean
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.PredictionAppender
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.Saver
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.SerializedModelSaver
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.StripChart
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.TestSetMaker
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.TextViewer
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.TrainingSetMaker
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() -
Method in class weka.gui.beans.TrainTestSplitMaker
- Get the custom (descriptive) name for this bean (if one has been set)
- getCustomPanel() -
Method in interface weka.gui.CustomPanelSupplier
- Gets the custom panel for the object.
- getCustomPanel() -
Method in class weka.gui.GenericObjectEditor
- Gets the custom panel used for editing the object.
- getCustomWidth() -
Method in class weka.gui.visualize.JComponentWriter
- gets the custom width currently used
- getCutoff() -
Method in class weka.clusterers.Cobweb
- get the cutoff
- getCutOffFactor() -
Method in class weka.clusterers.XMeans
- Gets the cutoff factor.
- getCutPoints(int) -
Method in class weka.filters.supervised.attribute.Discretize
- Gets the cut points for an attribute
- getCutPoints(int) -
Method in class weka.filters.unsupervised.attribute.Discretize
- Gets the cut points for an attribute
- getCVisible() -
Method in class weka.gui.treevisualizer.Node
- Get If this node's childs are visible.
- getCVParameter(int) -
Method in class weka.classifiers.meta.CVParameterSelection
- Gets the scheme paramter with the given index.
- getCVParameters() -
Method in class weka.classifiers.meta.CVParameterSelection
- Get method for CVParameters.
- getCVPredictions(Classifier, Instances, int) -
Method in class weka.classifiers.evaluation.EvaluationUtils
- Generate a bunch of predictions ready for processing, by performing a
cross-validation on the supplied dataset.
- getCVType() -
Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
- get cross validation strategy to be used in searching for networks.
- getCycleEnd() -
Method in class weka.associations.GeneralizedSequentialPatterns
- Returns the time/date string the cycle ended
- getCycleStart() -
Method in class weka.associations.GeneralizedSequentialPatterns
- Returns the time/date string the cycle was started
- getD() -
Method in class weka.core.matrix.EigenvalueDecomposition
- Return the block diagonal eigenvalue matrix
- getData() -
Method in class weka.attributeSelection.BestFirst.Link2
- Get a group
- getData() -
Method in class weka.attributeSelection.LFSMethods.Link2
- Get a group
- getData() -
Method in class weka.classifiers.rules.RuleStats
- Get the data of the stats
- getData() -
Method in class weka.core.AttributeLocator
- returns the underlying data
- getData() -
Method in class weka.core.converters.ArffLoader.ArffReader
- Returns the data that was read
- getData() -
Method in class weka.core.TestInstances
- returns the current dataset, can be null
- getDatabase_distanceType() -
Method in class weka.clusterers.DBScan
- Returns the distance-type
- getDatabase_distanceType() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.SERObject
- Returns the distance-type
- getDatabase_distanceType() -
Method in class weka.clusterers.OPTICS
- Returns the distance-type
- getDatabase_Type() -
Method in class weka.clusterers.DBScan
- Returns the type of the used index (database)
- getDatabase_Type() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.SERObject
- Returns the type of the used index (database)
- getDatabase_Type() -
Method in class weka.clusterers.OPTICS
- Returns the type of the used index (database)
- getDatabaseOutput() -
Method in class weka.clusterers.OPTICS
- Returns the file to save the database to - if directory, database is not
saved.
- getDatabaseSize() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.SERObject
- Returns the database's size
- getDatabaseURL() -
Method in class weka.experiment.DatabaseUtils
- Get the value of DatabaseURL.
- getDataDictionary() -
Method in class weka.classifiers.pmml.consumer.PMMLClassifier
- Get the data dictionary.
- getDataDirectoryName(Instances) -
Static method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary
- Returns the unique name for the set of instances supplied.
- getDataFileName() -
Method in class weka.classifiers.BVDecompose
- Get the name of the data file used for the decomposition
- getDataFileName() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Get the name of the data file used for the decomposition
- getDataObject(String) -
Method in interface weka.clusterers.forOPTICSAndDBScan.Databases.Database
- Select a dataObject from the database
- getDataObject(String) -
Method in class weka.clusterers.forOPTICSAndDBScan.Databases.SequentialDatabase
- Select a dataObject from the database
- getDataObject() -
Method in class weka.clusterers.forOPTICSAndDBScan.Utils.EpsilonRange_ListElement
- Returns this dataObject
- getDataPoint() -
Method in class weka.gui.beans.ChartEvent
- Get the data point
- getDataSeqID() -
Method in class weka.associations.GeneralizedSequentialPatterns
- Returns the attribute representing the data sequence ID.
- getDataset() -
Method in class weka.classifiers.CheckSource
- Gets the dataset to use for testing, can be null.
- getDataSet() -
Method in class weka.core.converters.AbstractLoader
-
- getDataSet() -
Method in class weka.core.converters.ArffLoader
- Return the full data set.
- getDataSet() -
Method in class weka.core.converters.C45Loader
- Return the full data set.
- getDataSet() -
Method in class weka.core.converters.ConverterUtils.DataSource
- returns the full dataset, can be null in case of an error.
- getDataSet(int) -
Method in class weka.core.converters.ConverterUtils.DataSource
- returns the full dataset with the specified class index set,
can be null in case of an error.
- getDataSet() -
Method in class weka.core.converters.CSVLoader
- Return the full data set.
- getDataSet() -
Method in class weka.core.converters.DatabaseLoader
- Return the full data set in batch mode (header and all intances at once).
- getDataSet() -
Method in class weka.core.converters.LibSVMLoader
- Return the full data set.
- getDataSet() -
Method in interface weka.core.converters.Loader
- Return the full data set.
- getDataSet() -
Method in class weka.core.converters.SerializedInstancesLoader
- Return the full data set.
- getDataSet() -
Method in class weka.core.converters.SVMLightLoader
- Return the full data set.
- getDataSet() -
Method in class weka.core.converters.TextDirectoryLoader
- Return the full data set.
- getDataSet() -
Method in class weka.core.converters.XRFFLoader
- Return the full data set.
- getDataset() -
Method in class weka.filters.CheckSource
- Gets the dataset to use for testing, can be null.
- getDataSet() -
Method in class weka.gui.beans.DataSetEvent
- Return the instances of the data set
- getDataSet() -
Method in class weka.gui.beans.ThresholdDataEvent
- Return the instances of the data set
- getDataSet() -
Method in class weka.gui.beans.VisualizableErrorEvent
- Return the instances of the data set
- getDatasetFormat() -
Method in class weka.datagenerators.DataGenerator
- Gets the format of the dataset that is to be generated.
- getDatasetKeyColumns() -
Method in class weka.experiment.PairedTTester
- Get the value of DatasetKeyColumns.
- getDatasetKeyColumns() -
Method in interface weka.experiment.Tester
- Get the value of DatasetKeyColumns.
- getDatasets() -
Method in class weka.experiment.Experiment
- Gets the datasets in the experiment.
- getDatasetsFirst() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- whether datasets or algorithms are iterated first
- getDataType() -
Method in class weka.gui.beans.xml.XMLBeans
- returns the type of data that is to be read/written
- getDateFormat() -
Method in class weka.core.Attribute
- Returns the Date format pattern in case this attribute is of type DATE,
otherwise an empty string.
- getDateFormat() -
Method in class weka.filters.unsupervised.attribute.Add
- Get the date format, complying to ISO-8601.
- getDateFormat() -
Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
- Get the date format used in output.
- getDbUtils() -
Method in class weka.gui.sql.event.ConnectionEvent
- returns the DbUtils instance that is responsible for the
connect/disconnect.
- getDbUtils() -
Method in class weka.gui.sql.event.QueryExecuteEvent
- returns the DbUtils instance that was executed the query
- getDebug() -
Method in class weka.associations.GeneralizedSequentialPatterns
- Get whether debugging is turned on.
- getDebug() -
Method in class weka.associations.HotSpot
- Get whether debugging info is output
- getDebug() -
Method in class weka.attributeSelection.RaceSearch
- Get whether output is to be verbose
- getDebug() -
Method in class weka.attributeSelection.ScatterSearchV1
- Get whether output is to be verbose
- getDebug() -
Method in class weka.classifiers.BVDecompose
- Gets whether debugging is turned on
- getDebug() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Gets whether debugging is turned on
- getDebug() -
Method in class weka.classifiers.Classifier
- Get whether debugging is turned on.
- getDebug() -
Method in class weka.classifiers.functions.LeastMedSq
- Returns whether or not debugging output shouild be printed
- getDebug() -
Method in class weka.classifiers.functions.LinearRegression
- Controls whether debugging output will be printed
- getDebug() -
Method in class weka.classifiers.functions.Logistic
- Gets whether debugging output will be printed.
- getDebug() -
Method in class weka.classifiers.functions.PaceRegression
- Controls whether debugging output will be printed
- getDebug() -
Method in class weka.classifiers.functions.supportVector.Kernel
- Gets whether debugging output is turned on or not.
- getDebug() -
Method in class weka.classifiers.meta.MultiScheme
- Get whether debugging is turned on
- getDebug() -
Method in class weka.classifiers.rules.JRip
- Gets whether debug information is output to the console
- getDebug() -
Method in class weka.clusterers.EM
- Get debug mode
- getDebug() -
Method in class weka.clusterers.sIB
- Get debug mode
- getDebug() -
Method in class weka.core.Check
- Get whether debugging is turned on
- getDebug() -
Method in class weka.core.converters.TextDirectoryLoader
- Gets whether additional debug information is printed.
- getDebug() -
Method in class weka.core.Debug.Random
- returns whether to print the generated random values or not
- getDebug() -
Method in class weka.datagenerators.DataGenerator
- Gets the debug flag.
- getDebug() -
Method in class weka.estimators.CheckEstimator
- Get whether debugging is turned on
- getDebug() -
Method in class weka.estimators.Estimator
- Get whether debugging is turned on.
- getDebug() -
Method in class weka.experiment.DatabaseUtils
- Gets whether there should be printed some debugging output to stderr or not.
- getDebug() -
Method in class weka.filters.SimpleFilter
- Returns the current debugging mode state.
- getDebug() -
Method in class weka.filters.unsupervised.attribute.AddExpression
- Gets whether debug is set
- getDebug() -
Method in class weka.gui.DatabaseConnectionDialog
- Returns the debug flag
- getDebug() -
Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
- returns whether debug mode is on.
- getDebug() -
Method in class weka.gui.streams.InstanceCounter
-
- getDebug() -
Method in class weka.gui.streams.InstanceJoiner
-
- getDebug() -
Method in class weka.gui.streams.InstanceLoader
-
- getDebug() -
Method in class weka.gui.streams.InstanceSavePanel
-
- getDebug() -
Method in class weka.gui.streams.InstanceTable
-
- getDebug() -
Method in class weka.gui.streams.InstanceViewer
-
- getDebugLevel() -
Method in class weka.clusterers.XMeans
- Gets the debug level.
- getDebugVectorsFile() -
Method in class weka.clusterers.XMeans
- Gets the file name for a file that has the random vectors stored.
- getDecay() -
Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getDecimals() -
Method in class weka.filters.unsupervised.attribute.NumericCleaner
- Get the number of decimals to round to.
- getDefault() -
Method in class weka.core.Tee
- returns the default printstrean, can be NULL
- getDefaultRenderer(PropertyEditor) -
Static method in class weka.gui.EnsembleLibraryEditor
- This is a helper function that creates a renderer for Default Objects.
- getDefaultValue() -
Method in class weka.core.pmml.TargetMetaInfo
- Get the default value (numeric target)
- getDefaultWeight() -
Method in class weka.classifiers.functions.Winnow
- Get the value of defaultWeight.
- getDefaultWorkingDirectory() -
Static method in class weka.classifiers.meta.EnsembleSelection
- This method tries to find a reasonable path name for the ensemble working
directory where models and files will be stored.
- getDegree() -
Method in class weka.classifiers.functions.LibSVM
- Gets the degree of the kernel
- getDegreesOfFreedom() -
Method in class weka.experiment.PairedStats
- Gets the degrees of freedom.
- getDeleteEmptyBins() -
Method in class weka.classifiers.meta.RegressionByDiscretization
- Gets the number of bins numeric attributes will be divided into
- getDelimiters() -
Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
- Get the value of delimiters (not backquoted).
- getDelta() -
Method in class weka.associations.Apriori
- Get the value of delta.
- getDelta() -
Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
- getDelta() -
Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
- getDensityBasedClusterer() -
Method in class weka.filters.unsupervised.attribute.ClusterMembership
- Get the clusterer used by this filter
- getDerivedFields() -
Method in class weka.core.pmml.MiningSchema
-
- getDerivedValue(double[]) -
Method in class weka.core.pmml.DerivedFieldMetaInfo
- Get the derived field value for the given incoming vector of
values.
- getDescendantPopulationSize() -
Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- getDescendantPopulationSize() -
Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- getDescription() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.SERFileFilter
- The description of this filter.
- getDescription() -
Method in class weka.gui.ExtensionFileFilter
- Gets the description of accepted files.
- getDescription() -
Method in class weka.gui.visualize.BMPWriter
- returns the name of the writer, to display in the FileChooser.
- getDescription() -
Method in class weka.gui.visualize.JComponentWriter
- returns the name of the writer, to display in the FileChooser.
- getDescription() -
Method in class weka.gui.visualize.JPEGWriter
- returns the name of the writer, to display in the FileChooser.
- getDescription() -
Method in class weka.gui.visualize.PNGWriter
- returns the name of the writer, to display in the FileChooser.
- getDescription() -
Method in class weka.gui.visualize.PostscriptWriter
- returns the name of the writer, to display in the FileChooser.
- getDescriptionText() -
Method in class weka.classifiers.EnsembleLibraryModel
- getter for the string representation
- getDesignatedClass() -
Method in class weka.classifiers.meta.ThresholdSelector
- Gets the method to determine which class value to optimize.
- getDesignVersion() -
Method in interface weka.gui.visualize.plugins.VisualizePlugin
- Get the specific version of Weka the class is designed for.
- getDesiredSize() -
Method in class weka.classifiers.meta.Decorate
- Gets the desired size of the committee.
- getDesiredWeightOfInstancesPerInterval() -
Method in class weka.filters.unsupervised.attribute.Discretize
- Get the DesiredWeightOfInstancesPerInterval value.
- getDestination() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns the default destination
- getDetectionPerAttribute() -
Method in class weka.filters.unsupervised.attribute.InterquartileRange
- Gets whether an Outlier/ExtremeValue attribute pair is generated for
each numeric attribute ("true") or just one pair for all numeric
attributes together ("false").
- getDeviceConfiguration() -
Method in class weka.gui.visualize.PostscriptGraphics
-
- getDir() -
Method in class weka.core.Javadoc
- returns the current dir containing the class to update.
- getDir() -
Method in class weka.gui.Loader
- returns the dir prefix
- getDirection() -
Method in class weka.attributeSelection.BestFirst
- Get the search direction
- getDirectory() -
Method in class weka.core.converters.TextDirectoryLoader
- get the Dir specified as the source
- getDirectory() -
Method in class weka.gui.beans.SerializedModelSaver
- Get the directory that the model(s) will be saved into
- getDiscretizeBin() -
Method in class weka.classifiers.mi.MIBoost
- Get the number of bins in discretization
- getDiscretizer() -
Method in class weka.classifiers.trees.j48.NBTreeNoSplit
- Return the discretizer used at this node
- getDisplay() -
Method in enum weka.core.TechnicalInformation.Field
- returns the display string
- getDisplay() -
Method in enum weka.core.TechnicalInformation.Type
- returns the display string
- getDisplayCol(int) -
Method in class weka.experiment.ResultMatrix
- returns the displayed index of the given col, depending on the order of
columns, returns -1 if index out of bounds
- getDisplayedResultsets() -
Method in class weka.experiment.PairedTTester
- Gets the indices of the the datasets that are displayed (if
null
then all are displayed).
- getDisplayedResultsets() -
Method in interface weka.experiment.Tester
- Gets the indices of the the datasets that are displayed (if
null
then all are displayed).
- getDisplayModelInOldFormat() -
Method in class weka.classifiers.bayes.NaiveBayes
- Get whether to display model output in the old, original
format.
- getDisplayModelInOldFormat() -
Method in class weka.clusterers.EM
- Get whether to display model output in the old, original
format.
- getDisplayName() -
Method in class weka.experiment.PairedCorrectedTTester
- returns the name of the tester
- getDisplayName() -
Method in class weka.experiment.PairedTTester
- returns the name of the tester
- getDisplayName() -
Method in class weka.experiment.ResultMatrix
- returns the name of the output format
- getDisplayName() -
Method in class weka.experiment.ResultMatrixCSV
- returns the name of the output format
- getDisplayName() -
Method in class weka.experiment.ResultMatrixGnuPlot
- returns the name of the output format
- getDisplayName() -
Method in class weka.experiment.ResultMatrixHTML
- returns the name of the output format
- getDisplayName() -
Method in class weka.experiment.ResultMatrixLatex
- returns the name of the output format
- getDisplayName() -
Method in class weka.experiment.ResultMatrixPlainText
- returns the name of the output format
- getDisplayName() -
Method in class weka.experiment.ResultMatrixSignificance
- returns the name of the output format
- getDisplayName() -
Method in interface weka.experiment.Tester
- returns the name of the testing algorithm
- getDisplayRow(int) -
Method in class weka.experiment.ResultMatrix
- returns the displayed index of the given row, depending on the order of
rows, returns -1 if index out of bounds
- getDisplayRules() -
Method in class weka.classifiers.rules.DecisionTable
- Gets whether rules are being printed
- getDisplayStdDevs() -
Method in class weka.clusterers.SimpleKMeans
- Gets whether standard deviations and nominal count
Should be displayed in the clustering output
- getDisplayValue() -
Method in class weka.core.pmml.FieldMetaInfo.Value
-
- getDistance() -
Method in class weka.clusterers.forOPTICSAndDBScan.Utils.EpsilonRange_ListElement
- Returns the distance that was calulcated for this dataObject
(The distance between this dataObject and the dataObject for which an epsilon-range-query
was performed.)
- getDistanceF() -
Method in class weka.clusterers.XMeans
- Gets the distance function.
- getDistanceFunction() -
Method in class weka.clusterers.SimpleKMeans
- returns the distance function currently in use.
- getDistanceFunction() -
Method in class weka.core.neighboursearch.KDTree
- returns the distance function currently in use.
- getDistanceFunction() -
Method in class weka.core.neighboursearch.NearestNeighbourSearch
- returns the distance function currently in use.
- getDistances() -
Method in class weka.core.neighboursearch.BallTree
- Returns the distances of the k nearest neighbours.
- getDistances() -
Method in class weka.core.neighboursearch.CoverTree
- Returns the distances of the (k)-NN(s) found earlier
by kNearestNeighbours()/nearestNeighbour().
- getDistances() -
Method in class weka.core.neighboursearch.KDTree
- Returns the distances to the kNearest or 1 nearest neighbour currently
found with either the kNearestNeighbours or the nearestNeighbour method.
- getDistances() -
Method in class weka.core.neighboursearch.LinearNNSearch
- Returns the distances of the k nearest neighbours.
- getDistances() -
Method in class weka.core.neighboursearch.NearestNeighbourSearch
- Returns the distances of the k nearest neighbours.
- getDistanceType() -
Method in class weka.classifiers.misc.OLM
- Gets the distance type used by a nearest neighbour rule (if any).
- getDistanceWeighting() -
Method in class weka.classifiers.lazy.IBk
- Gets the distance weighting method used.
- getDistMult() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Gets the distance multiplier.
- getDistribution(String) -
Method in class weka.classifiers.bayes.net.EditableBayesNet
- returns distribution of a node in matrix form with matrix representing distribution
with P[i][j] = P(node = j | parent configuration = i)
- getDistribution(int) -
Method in class weka.classifiers.bayes.net.EditableBayesNet
- returns distribution of a node in matrix form with matrix representing distribution
with P[i][j] = P(node = j | parent configuration = i)
- getDistribution() -
Method in class weka.filters.unsupervised.attribute.RandomProjection
- Returns the current distribution that'll be used for calculating the
random matrix
- getDistributionArray(DiscreteEstimator) -
Static method in class weka.classifiers.misc.monotone.DistributionUtils
- Converts a
DiscreteEstimator to an array of
doubles.
- getDistributions() -
Method in class weka.classifiers.bayes.BayesNet
- Get full set of estimators.
- getDistributions(int) -
Method in class weka.classifiers.rules.RuleStats
- Get the class distribution predicted by the rule in
given position
- getDistributionSpread() -
Method in class weka.filters.supervised.instance.SpreadSubsample
- Gets the value for the distribution spread
- getDocType() -
Method in class weka.core.xml.XMLDocument
- returns the current DOCTYPE, can be
null.
- getDocument() -
Method in class weka.core.xml.XMLDocument
- returns the parsed DOM document.
- getDocument() -
Method in class weka.core.xml.XMLOptions
- returns the parsed DOM document.
- getDoNotOperateOnPerClassBasis() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Get the DoNotOperateOnPerClassBasis value.
- getDoNotReplaceMissingValues() -
Method in class weka.classifiers.functions.LibLINEAR
- Gets whether automatic replacement of missing values is
disabled.
- getDoNotReplaceMissingValues() -
Method in class weka.classifiers.functions.LibSVM
- Gets whether automatic replacement of missing values is
disabled.
- getDontNormalize() -
Method in class weka.core.NormalizableDistance
- Gets whether if the attribute values are to be normazlied in distance
calculation.
- getDontReplaceMissingValues() -
Method in class weka.clusterers.SimpleKMeans
- Gets whether missing values are to be replaced
- getDoublePivot() -
Method in class weka.core.matrix.LUDecomposition
- Return pivot permutation vector as a one-dimensional double array
- getEditor() -
Method in class weka.gui.ensembleLibraryEditor.tree.DefaultNode
- this returns the property editor that was provided for this object.
- getEditor() -
Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode
- A getter for the GenericObjectEditor for this node
- getEditor() -
Method in class weka.gui.PropertyDialog
- Gets the current property editor.
- getEditorActive() -
Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
- Returns true if the editor is currently in an active status---that
is the array is active and able to be edited.
- getEditorValue(Object) -
Static method in class weka.gui.EnsembleLibraryEditor
- This method handles the different object editor types in weka to obtain
their current values.
- getElapsedTime() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.SERObject
- Returns the elapsed-time
- getElement(int, int) -
Method in class weka.classifiers.CostMatrix
- Return the value of a cell as a double (for legacy code)
- getElement(int, int, Instance) -
Method in class weka.classifiers.CostMatrix
- Return the value of a cell as a double.
- getElement(int) -
Method in class weka.core.AlgVector
- Returns the value of a cell in the matrix.
- getElement(int, int) -
Method in class weka.core.Matrix
- Deprecated. Returns the value of a cell in the matrix.
- getElementAt(int) -
Method in class weka.gui.CheckBoxList.CheckBoxListModel
- Returns the component at the specified index.
- getElementAt(int) -
Method in class weka.gui.ensembleLibraryEditor.ModelList.SortedListModel
-
- getElements() -
Method in class weka.core.AlgVector
- Gets the elements of the vector and returns them as double array.
- getEliminateColinearAttributes() -
Method in class weka.classifiers.functions.LinearRegression
- Get the value of EliminateColinearAttributes.
- getEnabled() -
Method in class weka.core.Debug
- returns whether the logging is enabled
- getEntropicAutoBlend() -
Method in class weka.classifiers.lazy.KStar
- Get whether entropic blending being used
- getEntry(double) -
Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
- Returns the table entry to which the specified key is mapped in
this hashtable.
- getEnumerateColNames() -
Method in class weka.experiment.ResultMatrix
- returns whether column names or numbers instead are enumerateed
- getEnumerateRowNames() -
Method in class weka.experiment.ResultMatrix
- returns whether row names or numbers instead are enumerateed
- getEps() -
Method in class weka.classifiers.functions.LibLINEAR
- Gets tolerance of termination criterion
- getEps() -
Method in class weka.classifiers.functions.LibSVM
- Gets tolerance of termination criterion
- getEps() -
Method in class weka.classifiers.functions.SMOreg
- Get the value of eps.
- getEpsilon() -
Method in class weka.classifiers.functions.SMO
- Get the value of epsilon.
- getEpsilon() -
Method in class weka.classifiers.functions.SMOreg
- Get the value of epsilon.
- getEpsilon() -
Method in class weka.classifiers.functions.supportVector.RegSMO
- Get the value of epsilon.
- getEpsilon() -
Method in class weka.classifiers.mi.MISMO
- Get the value of epsilon.
- getEpsilon() -
Method in class weka.clusterers.DBScan
- Returns the value of epsilon
- getEpsilon() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.SERObject
- Returns the value of epsilon
- getEpsilon() -
Method in class weka.clusterers.OPTICS
- Returns the value of epsilon
- getEpsilonParameter() -
Method in class weka.attributeSelection.SVMAttributeEval
- Get the value of P used with SMO
- getEpsilonParameter() -
Method in class weka.classifiers.functions.supportVector.RegOptimizer
- Get the value of epsilon parameter of the epsilon insensitive loss function.
- getError() -
Method in class weka.classifiers.BVDecompose
- Get the calculated error rate
- getError() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Get the calculated error rate
- getErrorOnProbabilities() -
Method in class weka.classifiers.functions.SimpleLogistic
- Get the value of errorOnProbabilities.
- getErrorOnProbabilities() -
Method in class weka.classifiers.trees.FT
- Get the value of errorOnProbabilities.
- getErrorOnProbabilities() -
Method in class weka.classifiers.trees.LMT
- Get the value of errorOnProbabilities.
- getErrors() -
Method in class weka.classifiers.trees.j48.NBTreeNoSplit
- Return the errors made by the naive bayes model at this node
- getErrors() -
Method in class weka.classifiers.trees.j48.NBTreeSplit
- Return the errors made by the naive bayes models arising
from this split.
- getErrorText() -
Method in class weka.classifiers.EnsembleLibraryModel
- getter for the error text
- getEstimatedErrorsForLeaf() -
Method in class weka.classifiers.rules.part.C45PruneableDecList
- Computes estimated errors for leaf.
- getEstimator() -
Method in class weka.classifiers.bayes.BayesNet
- Get the BayesNetEstimator used for calculating the CPTs
- getEstimator() -
Method in class weka.classifiers.functions.PaceRegression
- Gets the estimator
- getEstimator() -
Method in class weka.estimators.CheckEstimator
- Get the estimator used as the estimator
- getEstimator(double) -
Method in interface weka.estimators.ConditionalEstimator
- Get a probability estimator for a value
- getEstimator(double) -
Method in class weka.estimators.DDConditionalEstimator
- Get a probability estimator for a value
- getEstimator(double) -
Method in class weka.estimators.DKConditionalEstimator
- Get a probability estimator for a value
- getEstimator(double) -
Method in class weka.estimators.DNConditionalEstimator
- Get a probability estimator for a value
- getEstimator(double) -
Method in class weka.estimators.KDConditionalEstimator
- Get a probability estimator for a value
- getEstimator(double) -
Method in class weka.estimators.KKConditionalEstimator
- Get a probability estimator for a value
- getEstimator(double) -
Method in class weka.estimators.NDConditionalEstimator
- Get a probability estimator for a value
- getEstimator(double) -
Method in class weka.estimators.NNConditionalEstimator
- Get a probability estimator for a value
- getEvaluation() -
Method in class weka.classifiers.meta.GridSearch
- Gets the criterion used for evaluating the classifier performance.
- getEvaluationMeasure() -
Method in class weka.classifiers.rules.DecisionTable
- Gets the currently set performance evaluation measure used for selecting
attributes for the decision table
- getEvaluationMode() -
Method in class weka.classifiers.meta.ThresholdSelector
- Gets the evaluation mode used.
- getEvaluator() -
Method in class weka.attributeSelection.CheckAttributeSelection
- Get the current evaluator
- getEvaluator() -
Method in class weka.attributeSelection.CostSensitiveASEvaluation
- Get the evaluator used as the base evaluator.
- getEvaluator() -
Method in class weka.classifiers.meta.AttributeSelectedClassifier
- Gets the attribute evaluator used
- getEvaluator() -
Method in class weka.filters.supervised.attribute.AttributeSelection
- Get the name of the attribute/subset evaluator
- getEvalUsingTrainingData() -
Method in class weka.attributeSelection.OneRAttributeEval
- Returns true if the training data is to be used for evaluation
- getEventName() -
Method in class weka.gui.beans.BeanConnection
- Returns the name of the event for this conncetion
- getEvents() -
Method in class weka.associations.gsp.Element
- Returns the events Array of an Element.
- getEventSetDescriptors() -
Method in class weka.gui.beans.AbstractDataSinkBeanInfo
- Get the event set descriptors for this bean
- getEventSetDescriptors() -
Method in class weka.gui.beans.AbstractDataSourceBeanInfo
- Get the event set descriptors pertinent to data sources
- getEventSetDescriptors() -
Method in class weka.gui.beans.AbstractTestSetProducerBeanInfo
-
- getEventSetDescriptors() -
Method in class weka.gui.beans.AbstractTrainAndTestSetProducerBeanInfo
-
- getEventSetDescriptors() -
Method in class weka.gui.beans.AbstractTrainingSetProducerBeanInfo
- Returns event set descriptors for this type of bean
- getEventSetDescriptors() -
Method in class weka.gui.beans.AssociatorBeanInfo
-
- getEventSetDescriptors() -
Method in class weka.gui.beans.AttributeSummarizerBeanInfo
- Get the event set descriptors for this bean
- getEventSetDescriptors() -
Method in class weka.gui.beans.ClassAssignerBeanInfo
- Returns the event set descriptors
- getEventSetDescriptors() -
Method in class weka.gui.beans.ClassifierBeanInfo
-
- getEventSetDescriptors() -
Method in class weka.gui.beans.ClassifierPerformanceEvaluatorBeanInfo
-
- getEventSetDescriptors() -
Method in class weka.gui.beans.ClassValuePickerBeanInfo
- Returns the event set descriptors
- getEventSetDescriptors() -
Method in class weka.gui.beans.ClustererBeanInfo
-
- getEventSetDescriptors() -
Method in class weka.gui.beans.ClustererPerformanceEvaluatorBeanInfo
-
- getEventSetDescriptors() -
Method in class weka.gui.beans.DataVisualizerBeanInfo
- Get the event set descriptors for this bean
- getEventSetDescriptors() -
Method in class weka.gui.beans.FilterBeanInfo
- Get the event set descriptors for this bean
- getEventSetDescriptors() -
Method in class weka.gui.beans.GraphViewerBeanInfo
- Get the event set descriptors for this bean
- getEventSetDescriptors() -
Method in class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo
- Get the event set descriptors for this bean
- getEventSetDescriptors() -
Method in class weka.gui.beans.InstanceStreamToBatchMakerBeanInfo
- Returns the event set descriptors
- getEventSetDescriptors() -
Method in class weka.gui.beans.ModelPerformanceChartBeanInfo
- Get the event set descriptors for this bean
- getEventSetDescriptors() -
Method in class weka.gui.beans.PredictionAppenderBeanInfo
- Get the event set descriptors pertinent to data sources
- getEventSetDescriptors() -
Method in class weka.gui.beans.ScatterPlotMatrixBeanInfo
- Get the event set descriptors for this bean
- getEventSetDescriptors() -
Method in class weka.gui.beans.SerializedModelSaverBeanInfo
- Get the event set descriptors for this bean
- getEventSetDescriptors() -
Method in class weka.gui.beans.StripChartBeanInfo
- Get the event set descriptors for this bean
- getEventSetDescriptors() -
Method in class weka.gui.beans.TextViewerBeanInfo
- Get the event set descriptors for this bean
- getEvidence(int) -
Method in class weka.classifiers.bayes.net.EditableBayesNet
- get evidence state of a node.
- getException() -
Method in class weka.gui.sql.event.ConnectionEvent
- returns the stored exception, if any (can be NULL)
- getException() -
Method in class weka.gui.sql.event.QueryExecuteEvent
- returns the exception, if one happened, otherwise NULL
- getExclusive() -
Method in class weka.classifiers.rules.ConjunctiveRule
- Returns whether exclusive expressions for nominal attributes splits are
considered
- getExecutionSlots() -
Method in class weka.gui.beans.Classifier
- Get the number of execution slots (threads) used
to train models.
- getExecutionStatus() -
Method in class weka.experiment.TaskStatusInfo
- Get the execution status of this Task.
- getExitIfNoWindowsOpen() -
Static method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
- Gets whether System.exit gets called after the last window gets closed
- getExitOnClose() -
Method in class weka.gui.arffviewer.ArffViewer
- returns TRUE if a System.exit(0) is done on a close
- getExitOnClose() -
Method in class weka.gui.arffviewer.ArffViewerMainPanel
- returns TRUE if a System.exit(0) is done on a close
- getExpectedFrequency() -
Method in class weka.associations.tertius.Rule
- Get the expected frequency of counter-instances of this rule.
- getExpectedNumber() -
Method in class weka.associations.tertius.Rule
-
- getExpectedResultsPerAverage() -
Method in class weka.experiment.AveragingResultProducer
- Get the value of ExpectedResultsPerAverage.
- getExperiment() -
Method in class weka.experiment.RemoteExperimentSubTask
- Get the experiment for this sub task
- getExperiment() -
Method in class weka.gui.experiment.SetupModePanel
- Gets the currently configured experiment.
- getExperiment() -
Method in class weka.gui.experiment.SetupPanel
- Gets the currently configured experiment.
- getExperiment() -
Method in class weka.gui.experiment.SimpleSetupPanel
- Gets the currently configured experiment.
- getExperimentType() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns the default experiment type
- getExplicitPropsFile() -
Method in class weka.gui.GenericPropertiesCreator
- returns TRUE, if a file is loaded and not the Utils class used for
locating the props file.
- getExplorer() -
Method in class weka.gui.explorer.AssociationsPanel
- returns the parent Explorer frame
- getExplorer() -
Method in class weka.gui.explorer.AttributeSelectionPanel
- returns the parent Explorer frame
- getExplorer() -
Method in class weka.gui.explorer.ClassifierPanel
- returns the parent Explorer frame
- getExplorer() -
Method in class weka.gui.explorer.ClustererPanel
- returns the parent Explorer frame
- getExplorer() -
Method in interface weka.gui.explorer.Explorer.ExplorerPanel
- returns the parent Explorer frame
- getExplorer() -
Method in class weka.gui.explorer.PreprocessPanel
- returns the parent Explorer frame
- getExplorer() -
Method in class weka.gui.explorer.VisualizePanel
- returns the parent Explorer frame
- getExponent() -
Method in class weka.classifiers.functions.supportVector.PolyKernel
- Gets the exponent value.
- getExponent() -
Method in class weka.classifiers.functions.VotedPerceptron
- Get the value of exponent.
- getExpression(Node, FieldMetaInfo.Optype, ArrayList<Attribute>, TransformationDictionary) -
Static method in class weka.core.pmml.Expression
- Static factory method that returns a subclass of Expression that
encapsulates the type of expression contained in the Element
supplied.
- getExpression(String, Node, FieldMetaInfo.Optype, ArrayList<Attribute>, TransformationDictionary) -
Static method in class weka.core.pmml.Expression
- Static factory method that returns a subclass of Expression that
encapsulates the type of expression supplied as an argument.
- getExpression() -
Method in class weka.datagenerators.classifiers.regression.Expression
- Gets the mathematical expression for generating y out of x
- getExpression() -
Method in class weka.filters.unsupervised.attribute.AddExpression
- Get the expression
- getExpression() -
Method in class weka.filters.unsupervised.attribute.MathExpression
- Get the expression
- getExpression() -
Method in class weka.filters.unsupervised.instance.SubsetByExpression
- Returns the expression used for filtering.
- getExtension() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns the default experiment extension
- getExtension() -
Method in class weka.gui.visualize.BMPWriter
- returns the extension (incl.
- getExtension() -
Method in class weka.gui.visualize.JComponentWriter
- returns the extension (incl.
- getExtension() -
Method in class weka.gui.visualize.JPEGWriter
- returns the extension (incl.
- getExtension() -
Method in class weka.gui.visualize.PNGWriter
- returns the extension (incl.
- getExtension() -
Method in class weka.gui.visualize.PostscriptWriter
- returns the extension (incl.
- getExtensions() -
Method in class weka.gui.ExtensionFileFilter
- Returns a copy of the acceptable extensions.
- getExtensionType() -
Method in class weka.classifiers.misc.OLM
- Gets the extension type.
- getExtremeValuesAsOutliers() -
Method in class weka.filters.unsupervised.attribute.InterquartileRange
- Get whether extreme values are also tagged as outliers.
- getExtremeValuesFactor() -
Method in class weka.filters.unsupervised.attribute.InterquartileRange
- Gets the factor for determining the thresholds for extreme values.
- getFactory() -
Method in class weka.core.xml.XMLDocument
- returns the DocumentBuilderFactory.
- getFailReason() -
Method in class weka.core.Capabilities
- returns the reason why the tests failed, is null if tests succeeded
- getFallout() -
Method in class weka.classifiers.evaluation.TwoClassStats
- Calculate the fallout.
- getFalseNegative() -
Method in class weka.classifiers.evaluation.TwoClassStats
- Gets the number of positive instances predicted as negative
- getFalsePositive() -
Method in class weka.classifiers.evaluation.TwoClassStats
- Gets the number of negative instances predicted as positive
- getFalsePositiveRate() -
Method in class weka.classifiers.evaluation.TwoClassStats
- Calculate the false positive rate.
- getFastRegression() -
Method in class weka.classifiers.trees.LMT
- Get the value of fastRegression.
- getFieldAsAttribute() -
Method in class weka.core.pmml.DerivedFieldMetaInfo
- Get this derived field as an Attribute.
- getFieldAsAttribute() -
Method in class weka.core.pmml.FieldMetaInfo
- Return this field as an Attribute.
- getFieldAsAttribute() -
Method in class weka.core.pmml.MiningFieldMetaInfo
- Return this mining field as an Attribute.
- getFieldAsAttribute() -
Method in class weka.core.pmml.TargetMetaInfo
- Return this field as an Attribute.
- getFieldDef(String) -
Method in class weka.core.pmml.Expression
- Return the named attribute from the list of reference fields.
- getFieldDefIndex(String) -
Method in class weka.core.pmml.Expression
-
- getFieldName() -
Method in class weka.core.pmml.FieldMetaInfo
- Get the name of this field.
- getFieldsAsInstances() -
Method in class weka.core.pmml.MiningSchema
- Get the all the fields (both mining schema and derived) as Instances.
- getFieldsMappingString() -
Method in class weka.classifiers.pmml.consumer.PMMLClassifier
- Get a textual description of the mapping between mining schema
fields and incoming data fields.
- getFieldsMappingString() -
Method in class weka.core.pmml.MappingInfo
- Get a textual description of them mapping between mining schema
fields and incoming data fields.
- getFile() -
Method in class weka.gui.visualize.JComponentWriter
- returns the file being used for storing the output
- getFileDescription() -
Method in class weka.core.converters.AbstractFileSaver
- to be pverridden
- getFileDescription() -
Method in class weka.core.converters.ArffLoader
- Returns a description of the file type.
- getFileDescription() -
Method in class weka.core.converters.ArffSaver
- Returns a description of the file type.
- getFileDescription() -
Method in class weka.core.converters.C45Loader
- Returns a description of the file type.
- getFileDescription() -
Method in class weka.core.converters.C45Saver
- Returns a description of the file type.
- getFileDescription() -
Method in class weka.core.converters.CSVLoader
- Returns a description of the file type.
- getFileDescription() -
Method in class weka.core.converters.CSVSaver
- Returns a description of the file type.
- getFileDescription() -
Method in interface weka.core.converters.FileSourcedConverter
- Get a one line description of the type of file
- getFileDescription() -
Method in class weka.core.converters.LibSVMLoader
- Returns a description of the file type.
- getFileDescription() -
Method in class weka.core.converters.LibSVMSaver
- Returns a description of the file type.
- getFileDescription() -
Method in class weka.core.converters.SerializedInstancesLoader
- Returns a description of the file type.
- getFileDescription() -
Method in class weka.core.converters.SerializedInstancesSaver
- Returns a description of the file type.
- getFileDescription() -
Method in class weka.core.converters.SVMLightLoader
- Returns a description of the file type.
- getFileDescription() -
Method in class weka.core.converters.SVMLightSaver
- Returns a description of the file type.
- getFileDescription() -
Method in class weka.core.converters.TextDirectoryLoader
- Returns a description of the file type, actually it's directories.
- getFileDescription() -
Method in class weka.core.converters.XRFFLoader
- Returns a description of the file type.
- getFileDescription() -
Method in class weka.core.converters.XRFFSaver
- Returns a description of the file type.
- getFileExtension() -
Method in class weka.core.converters.AbstractFileSaver
- Gets ihe file extension.
- getFileExtension() -
Method in class weka.core.converters.AbstractSaver
- Default implementation throws an IOException.
- getFileExtension() -
Method in class weka.core.converters.ArffLoader
- Get the file extension used for arff files
- getFileExtension() -
Method in class weka.core.converters.C45Loader
- Get the file extension used for arff files
- getFileExtension() -
Method in class weka.core.converters.CSVLoader
- Get the file extension used for arff files
- getFileExtension() -
Method in interface weka.core.converters.FileSourcedConverter
- Get the file extension used for this type of file
- getFileExtension() -
Method in class weka.core.converters.LibSVMLoader
- Get the file extension used for libsvm files.
- getFileExtension() -
Method in interface weka.core.converters.Saver
- Gets the file extension
- getFileExtension() -
Method in class weka.core.converters.SerializedInstancesLoader
- Get the file extension used for arff files
- getFileExtension() -
Method in class weka.core.converters.SVMLightLoader
- Get the file extension used for svm light files.
- getFileExtension() -
Method in class weka.core.converters.XRFFLoader
- Get the file extension used for libsvm files
- getFileExtensions() -
Method in class weka.core.converters.AbstractFileSaver
- Gets all the file extensions used for this type of file
- getFileExtensions() -
Method in class weka.core.converters.ArffLoader
- Gets all the file extensions used for this type of file
- getFileExtensions() -
Method in class weka.core.converters.C45Loader
- Gets all the file extensions used for this type of file
- getFileExtensions() -
Method in class weka.core.converters.CSVLoader
- Gets all the file extensions used for this type of file
- getFileExtensions() -
Method in interface weka.core.converters.FileSourcedConverter
- Gets all the file extensions used for this type of file
- getFileExtensions() -
Method in class weka.core.converters.LibSVMLoader
- Gets all the file extensions used for this type of file.
- getFileExtensions() -
Method in class weka.core.converters.SerializedInstancesLoader
- Gets all the file extensions used for this type of file
- getFileExtensions() -
Method in class weka.core.converters.SVMLightLoader
- Gets all the file extensions used for this type of file.
- getFileExtensions() -
Method in class weka.core.converters.XRFFLoader
- Gets all the file extensions used for this type of file
- getFileExtensions() -
Method in class weka.core.converters.XRFFSaver
- Gets all the file extensions used for this type of file
- getFileFormat() -
Method in class weka.gui.beans.SerializedModelSaver
- Get the file format to use for saving.
- getFileLoaders() -
Static method in class weka.core.converters.ConverterUtils
- returns a vector with the classnames of all the file loaders.
- getFileMatches(String) -
Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
- returns all the file/dir matches with the partial search string.
- getFileMustExist() -
Method in class weka.gui.ConverterFileChooser
- Returns whether the selected file must exist (only open dialog).
- getFileName() -
Method in class weka.classifiers.bayes.net.BIFReader
- returns the current filename
- getFileName(String) -
Static method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel
- The purpose of this method is to get an appropriate file name for a model
based on its string representation of a model.
- getFilename() -
Method in class weka.core.Debug.Log
- returns the filename of the log, can be null
- getFilename() -
Method in class weka.core.Debug.SimpleLog
- returns the filename of the log, can be null
- getFilename() -
Method in class weka.core.FindWithCapabilities
- returns the current filename for the dataset to base the capabilities on.
- getFilename() -
Method in class weka.gui.arffviewer.ArffPanel
- returns the filename
- getFilename(int) -
Method in class weka.gui.arffviewer.ArffViewerMainPanel
- returns the filename of the specified panel
- getFileSavers() -
Static method in class weka.core.converters.ConverterUtils
- returns a vector with the classnames of all the file savers.
- getFillWithMissing() -
Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
- Gets whether missing values should be used rather than removing instances
where the translated value is not known (due to border effects).
- getFilter() -
Method in class weka.associations.FilteredAssociator
- Gets the filter used.
- getFilter() -
Method in class weka.attributeSelection.FilteredAttributeEval
- Get the filter to use
- getFilter() -
Method in class weka.attributeSelection.FilteredSubsetEval
- Get the filter to use
- getFilter() -
Method in class weka.classifiers.functions.PLSClassifier
- Get the PLS filter.
- getFilter() -
Method in class weka.classifiers.meta.FilteredClassifier
- Gets the filter used.
- getFilter() -
Method in class weka.classifiers.meta.GridSearch
- Get the kernel filter.
- getFilter() -
Method in class weka.clusterers.FilteredClusterer
- Gets the filter used.
- getFilter() -
Method in class weka.filters.CheckSource
- Gets the filter being used for the tests, can be null.
- getFilter(int) -
Method in class weka.filters.MultiFilter
- Gets a single filter from the set of available filters.
- getFilter(int) -
Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
- Gets a single filter from the set of available filters.
- getFilter() -
Method in class weka.filters.unsupervised.attribute.Wavelet
- Get the preprocessing filter.
- getFilter() -
Method in class weka.gui.beans.Filter
-
- getFilter() -
Method in class weka.gui.explorer.Explorer.CapabilitiesFilterChangeEvent
- returns the associated Capabilities filter
- getFilter() -
Static method in class weka.gui.explorer.ExplorerDefaults
- returns the default filter (fully configured) for the preprocess panel
- getFilterAttributes() -
Method in class weka.associations.GeneralizedSequentialPatterns
- Returns the String containing the attributes which are used for output
filtering.
- getFiltered(int) -
Method in class weka.classifiers.rules.RuleStats
- Get the data after filtering the given rule
- getFilters() -
Method in class weka.filters.MultiFilter
- Gets the list of possible filters to choose from.
- getFilters() -
Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
- Gets the list of possible filters to choose from.
- getFilterType() -
Method in class weka.attributeSelection.SVMAttributeEval
- Get the filtering mode passed to SMO
- getFilterType() -
Method in class weka.classifiers.functions.GaussianProcesses
- Gets how the training data will be transformed.
- getFilterType() -
Method in class weka.classifiers.functions.SMO
- Gets how the training data will be transformed.
- getFilterType() -
Method in class weka.classifiers.functions.SMOreg
- Gets how the training data will be transformed.
- getFilterType() -
Method in class weka.classifiers.functions.SVMreg
- Gets how the training data will be transformed.
- getFilterType() -
Method in class weka.classifiers.mi.MDD
- Gets how the training data will be transformed.
- getFilterType() -
Method in class weka.classifiers.mi.MIDD
- Gets how the training data will be transformed.
- getFilterType() -
Method in class weka.classifiers.mi.MIEMDD
- Gets how the training data will be transformed.
- getFilterType() -
Method in class weka.classifiers.mi.MIOptimalBall
- Gets how the training data will be transformed.
- getFilterType() -
Method in class weka.classifiers.mi.MISMO
- Gets how the training data will be transformed.
- getFilterType() -
Method in class weka.classifiers.mi.MISVM
- Gets how the training data will be transformed.
- getFindNumBins() -
Method in class weka.filters.unsupervised.attribute.Discretize
- Get the value of FindNumBins.
- getFindNumBins() -
Method in class weka.filters.unsupervised.attribute.PKIDiscretize
- Get the value of FindNumBins.
- getFirst() -
Method in class weka.associations.tertius.SimpleLinkedList
-
- getFirstToken(StreamTokenizer) -
Static method in class weka.core.converters.ConverterUtils
- Gets token, skipping empty lines.
- getFirstValueIndex() -
Method in class weka.filters.unsupervised.attribute.MergeTwoValues
- Get the index of the first value used.
- getFirstValueIndex() -
Method in class weka.filters.unsupervised.attribute.SwapValues
- Get the index of the first value used.
- getFlag(char, String[]) -
Static method in class weka.core.Utils
- Checks if the given array contains the flag "-Char".
- getFlag(String, String[]) -
Static method in class weka.core.Utils
- Checks if the given array contains the flag "-String".
- getFlow() -
Method in class weka.gui.beans.KnowledgeFlowApp
- Gets the current flow being edited.
- getFlows() -
Method in class weka.gui.beans.FlowRunner
- Get the vector holding the flow(s)
- getFMeasure() -
Method in class weka.classifiers.evaluation.TwoClassStats
- Calculate the F-Measure.
- getFold() -
Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
- Gets the fold which is selected.
- getFold() -
Method in class weka.filters.unsupervised.instance.RemoveFolds
- Gets the fold which is selected.
- getFoldColumn() -
Method in class weka.experiment.PairedTTester
- Get the value of FoldColumn.
- getFoldColumn() -
Method in interface weka.experiment.Tester
- Get the value of FoldColumn.
- getFoldPrediction(Instance, int) -
Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel
- Returns prediction of the classifier for the specified fold.
- getFolds() -
Method in class weka.attributeSelection.OneRAttributeEval
- Get the number of folds used for cross validation
- getFolds() -
Method in class weka.attributeSelection.WrapperSubsetEval
- Get the number of folds used for accuracy estimation
- getFolds() -
Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel
- get the number of folds
- getFolds() -
Method in class weka.classifiers.rules.ConjunctiveRule
- returns the current number of folds
- getFolds() -
Method in class weka.classifiers.rules.JRip
- Gets the number of folds
- getFolds() -
Method in class weka.classifiers.rules.Ridor
-
- getFolds() -
Method in class weka.gui.beans.CrossValidationFoldMaker
- Get the currently set number of folds
- getFolds() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns the number of folds used for cross-validation
- getFoldsType() -
Method in class weka.attributeSelection.RaceSearch
- Get the xfold type
- getFont() -
Method in class weka.gui.visualize.PostscriptGraphics
- Get current font.
- getFontMetrics(Font) -
Method in class weka.gui.visualize.PostscriptGraphics
- Get Font metrics
- getFontRenderContext() -
Method in class weka.gui.visualize.PostscriptGraphics
- START overridden Graphics2D methods
- getFormat() -
Method in class weka.core.Debug.Timestamp
- returns the current timestamp format
- getForwardSelectionMethod() -
Method in class weka.attributeSelection.LinearForwardSelection
- Get the search direction
- getFPRate() -
Method in class weka.associations.tertius.Rule
- Get the rate of False Positive instances of this rule.
- getFrameLocation() -
Method in class weka.gui.MemoryUsagePanel
- Returns the default position for the dialog.
- getFrameTitle() -
Method in class weka.gui.arffviewer.ArffViewerMainPanel
- returns the title (incl.
- getFrequencyLimit() -
Method in class weka.classifiers.bayes.AODE
- Gets the frequency limit.
- getFrequencyLimit() -
Method in class weka.classifiers.bayes.AODEsr
- Gets the frequency limit.
- getFrequencyThreshold() -
Method in class weka.associations.Tertius
- Get the value of frequencyThreshold.
- getFreshCardinalityOfParents(Instances) -
Method in class weka.classifiers.bayes.net.ParentSet
- returns cardinality of parents after recalculation
- getFromYear() -
Static method in class weka.core.Copyright
- returns the start year of the copyright
- getFunction(String) -
Static method in class weka.core.pmml.Function
- Get a built-in PMML Function.
- getFunction(String, TransformationDictionary) -
Static method in class weka.core.pmml.Function
- Get either a function.
- getFunction() -
Method in class weka.datagenerators.classifiers.classification.Agrawal
- Gets the function for generating the data.
- getFunctionValue(int) -
Method in class weka.classifiers.functions.pace.DiscreteFunction
- Gets a particular function value
- getGamma() -
Method in class weka.classifiers.functions.LibSVM
- Gets gamma
- getGamma() -
Method in class weka.classifiers.functions.supportVector.RBFKernel
- Gets the gamma value.
- getGCount(Node, int) -
Static method in class weka.gui.treevisualizer.Node
- Recursively finds the number of visible groups of siblings there are.
- getGenerateDataOutput() -
Method in class weka.attributeSelection.FCBFSearch
- Returns the flag, by which the AttributeSelection module decide
whether create a new dataset according to the selected features.
- getGenerateRanking() -
Method in class weka.attributeSelection.FCBFSearch
- This is a dummy method.
- getGenerateRanking() -
Method in class weka.attributeSelection.GreedyStepwise
- Gets whether ranking has been requested.
- getGenerateRanking() -
Method in class weka.attributeSelection.RaceSearch
- Gets whether ranking has been requested.
- getGenerateRanking() -
Method in interface weka.attributeSelection.RankedOutputSearch
- Gets whether the user has opted to see a ranked list of
attributes rather than the normal result of the search
- getGenerateRanking() -
Method in class weka.attributeSelection.Ranker
- This is a dummy method.
- getGenerator() -
Method in class weka.gui.explorer.DataGeneratorPanel
- returns the currently selected DataGenerator
- getGeneratorSamplesBase() -
Method in class weka.gui.boundaryvisualizer.BoundaryPanel
- Get the base used for computing the number of samples to obtain from
each generator
- getGlobalBlend() -
Method in class weka.classifiers.lazy.KStar
- Get the value of the global blend parameter
- getGlobalInfo(Object) -
Static method in class weka.gui.beans.KnowledgeFlowApp
- Utility method for grabbing the global info help (if it exists) from
an arbitrary object
- getGlobalModel() -
Method in class weka.classifiers.trees.j48.NBTreeSplit
- Return the global naive bayes model for this node
- getGraphString() -
Method in class weka.gui.beans.GraphEvent
- Return the dot string for the graph
- getGraphTitle() -
Method in class weka.gui.beans.GraphEvent
- Return the graph title
- getGraphType() -
Method in class weka.gui.beans.GraphEvent
- Return the graph type
- getGreedySortInitialization() -
Method in class weka.classifiers.meta.EnsembleSelection
- Get the value of greedySortInitialization.
- getGridExtensionsPerformed() -
Method in class weka.classifiers.meta.GridSearch
- returns the number of grid extensions that took place during the search
(only applicable if the grid was extendable).
- getGridIsExtendable() -
Method in class weka.classifiers.meta.GridSearch
- Get whether the grid can be extended dynamically.
- getGridWidth() -
Method in class weka.gui.beans.AttributeSummarizer
- Get the width of the grid of plots
- getGUI() -
Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getGUIType() -
Method in class weka.gui.Main
- Gets the currently set type of GUI to display.
- getH() -
Method in class weka.core.matrix.QRDecomposition
- Return the Householder vectors
- getHandler() -
Method in class weka.core.FindWithCapabilities
- returns the current set CapabilitiesHandler to generate the dataset
for, can be null.
- getHandler() -
Method in class weka.core.TestInstances
- returns the current set CapabilitiesHandler to generate the dataset
for, can be null
- getHashtable(FastVector, int) -
Static method in class weka.associations.ItemSet
- Return a hashtable filled with the given item sets.
- getHashtable(FastVector, int) -
Static method in class weka.associations.LabeledItemSet
- Return a hashtable filled with the given item sets.
- getHDRank() -
Method in class weka.classifiers.mi.CitationKNN
- Returns the rank associated to the Hausdorff distance
- getHeader(String) -
Method in class weka.experiment.ResultMatrix
- returns the value associated with the given key, null if if cannot be
found
- getHeight() -
Method in class weka.gui.beans.BeanInstance
- Gets the height of this bean
- getHeight(Node, int) -
Static method in class weka.gui.treevisualizer.Node
- Recursively finds the number of visible levels there are.
- getHelpText() -
Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode
- getter for the tooltip text
- getHeuristic() -
Method in class weka.classifiers.trees.BFTree
- Get if use heuristic search for nominal attributes in multi-class problems.
- getHeuristic() -
Method in class weka.classifiers.trees.SimpleCart
- Get if use heuristic search for nominal attributes in multi-class problems.
- getHeuristicStop() -
Method in class weka.classifiers.functions.SimpleLogistic
- Get the value of heuristicStop.
- getHiddenLayers() -
Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getHillclimbIterations() -
Method in class weka.classifiers.meta.EnsembleSelection
- Gets the number of hillclimbIterations.
- getHillclimbMetric() -
Method in class weka.classifiers.meta.EnsembleSelection
- Gets the hill climbing metric.
- getHillclimbPredictions() -
Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary
- This method will get the predictions for all the models in the
ensemble library.
- getHistory() -
Method in class weka.gui.sql.ConnectionPanel
- returns the history.
- getHistory() -
Method in class weka.gui.sql.event.HistoryChangedEvent
- returns the history model
- getHistory() -
Method in class weka.gui.sql.QueryPanel
- returns the history.
- getHistoryName() -
Method in class weka.gui.sql.event.HistoryChangedEvent
- returns the name of the history
- getHoldOutFile() -
Method in class weka.attributeSelection.ClassifierSubsetEval
- Gets the file that holds hold out/test instances.
- getHomeDir() -
Static method in class weka.core.Debug
- returns the home directory of the user
- getHornClauses() -
Method in class weka.associations.Tertius
- Get the value of hornClauses.
- getHyperparameterRange() -
Method in class weka.classifiers.bayes.BayesianLogisticRegression
- Get the range of hyperparameter values to consider
during CV-based selection.
- getHyperparameterSelection() -
Method in class weka.classifiers.bayes.BayesianLogisticRegression
- Get the method used to select the hyperparameter
- getHyperparameterValue() -
Method in class weka.classifiers.bayes.BayesianLogisticRegression
- Get the hyperparameter value.
- getIconPath() -
Method in class weka.gui.beans.BeanVisual
- returns the path for the icon
- getId() -
Method in class weka.classifiers.functions.neural.NeuralConnection
-
- getID() -
Method in class weka.core.Debug.Random
- returns the unique ID of this number generator
- getID() -
Method in class weka.core.Tag
- Gets the numeric ID of the Tag.
- getID() -
Method in class weka.core.TechnicalInformation
- returns the unique ID (either the one used in creating this instance
or the automatically generated one)
- getID() -
Method in class weka.gui.streams.InstanceEvent
- Get the event type
- getID() -
Method in class weka.gui.treevisualizer.TreeDisplayEvent
-
- getIDFTransform() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Sets whether if the word frequencies in a document should be transformed
into:
fij*log(num of Docs/num of Docs with word i)
where fij is the frequency of word i in document(instance) j.
- getIDIndex() -
Method in class weka.filters.unsupervised.attribute.AddID
- Get the index of the attribute used.
- getIDStr() -
Method in class weka.core.Tag
- Gets the string ID of the Tag.
- getIgnoreClass() -
Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
- Gets the IgnoreClass value.
- getIgnoredAttributeIndices() -
Method in class weka.filters.unsupervised.attribute.AddCluster
- Gets ranges of attributes to be ignored.
- getIgnoredAttributeIndices() -
Method in class weka.filters.unsupervised.attribute.ClusterMembership
- Gets ranges of attributes to be ignored.
- getIgnoredProperties() -
Method in class weka.core.CheckGOE
- Get the ignored properties used in checkToolTips() as comma-separated
list (sorted).
- getIgnoreRange() -
Method in class weka.filters.unsupervised.attribute.MathExpression
- Get the current range selection.
- getImage(String, String) -
Static method in class weka.gui.ComponentHelper
- returns the Image for a given directory and filename, NULL if not successful
- getImage(String) -
Static method in class weka.gui.ComponentHelper
- returns the Image for a given filename, NULL if not successful
- getImageIcon(String, String) -
Static method in class weka.gui.ComponentHelper
- returns the ImageIcon for a given filename and directory, NULL if not successful
- getImageIcon(String) -
Static method in class weka.gui.ComponentHelper
- returns the ImageIcon for a given filename, NULL if not successful
- getImagEigenvalues() -
Method in class weka.core.matrix.EigenvalueDecomposition
- Return the imaginary parts of the eigenvalues
- getIncludeClass() -
Method in class weka.core.InstanceComparator
- returns TRUE if the class is included in the comparison
- getIncludeClass() -
Method in class weka.filters.unsupervised.attribute.NumericCleaner
- Gets whether the class is included in the cleaning process or always
skipped.
- getIndex() -
Method in class weka.associations.tertius.Predicate
-
- getIndex() -
Method in class weka.core.PropertyPath.PathElement
- returns the index of the property, -1 if the property is not an
index-based one
- getIndex() -
Method in class weka.core.SingleIndex
- Gets the selected index
- getIndexofBiggest(List<Integer>) -
Method in class weka.attributeSelection.ScatterSearchV1
- get the index in a List where this have the biggest number
- getIndividualPerformance(Instances, int) -
Method in class weka.classifiers.meta.ensembleSelection.ModelBag
- Gets the individual performances of all the models in the bag.
- getInitAsNaiveBayes() -
Method in class weka.classifiers.bayes.net.search.global.HillClimber
- Gets whether to init as naive bayes
- getInitAsNaiveBayes() -
Method in class weka.classifiers.bayes.net.search.global.K2
- Gets whether to init as naive bayes
- getInitAsNaiveBayes() -
Method in class weka.classifiers.bayes.net.search.local.HillClimber
- Gets whether to init as naive bayes
- getInitAsNaiveBayes() -
Method in class weka.classifiers.bayes.net.search.local.K2
- Gets whether to init as naive bayes
- getInitFile() -
Method in class weka.filters.unsupervised.attribute.KernelFilter
- Gets the file to initialize the filter with, can be null.
- getInitFileClassIndex() -
Method in class weka.filters.unsupervised.attribute.KernelFilter
- Gets the class index of the file to initialize the filter with.
- getInitGenericObjectEditorFilter() -
Static method in class weka.gui.explorer.ExplorerDefaults
- returns if the GOEs in the Explorer will be initialized based on the
data that is loaded into the Explorer
- getInitial() -
Method in class weka.core.Memory
- returns the initial size of the JVM
- getInitialDatasetsDirectory() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns the initial directory for the datasets (if empty, it returns
the user's home directory)
- getInputCenterFile() -
Method in class weka.clusterers.XMeans
- Gets the file to read the list of centers from.
- getInputFilename() -
Method in class weka.gui.GenericPropertiesCreator
- returns the name of the input file
- getInputNums() -
Method in class weka.classifiers.functions.neural.NeuralConnection
- Use this to get easy access to the input numbers.
- getInputOrder() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Gets the input order.
- getInputProperties() -
Method in class weka.gui.GenericPropertiesCreator
- returns the input properties object (template containing the packages)
- getInputs() -
Method in class weka.classifiers.functions.neural.NeuralConnection
- Use this to get easy access to the inputs.
- getInputs() -
Method in class weka.gui.beans.MetaBean
-
- getInputStream(String, String) -
Static method in class weka.gui.Loader
- returns an InputStream for the given dir and filename, can be NULL if it
fails
- getInputStream(String) -
Method in class weka.gui.Loader
- returns an InputStream for the given filename, can be NULL if it fails
- getInstalledLookAndFeels() -
Static method in class weka.gui.LookAndFeel
- returns an array with the classnames of all the installed LnFs
- getInstance() -
Method in interface weka.clusterers.forOPTICSAndDBScan.DataObjects.DataObject
- Returns the original instance
- getInstance() -
Method in class weka.clusterers.forOPTICSAndDBScan.DataObjects.EuclidianDataObject
- Returns the original instance
- getInstance() -
Method in class weka.clusterers.forOPTICSAndDBScan.DataObjects.ManhattanDataObject
- Returns the original instance
- getInstance() -
Method in class weka.gui.beans.InstanceEvent
- Get the instance
- getInstanceIndex(int) -
Method in class weka.classifiers.lazy.LBR.Indexes
- Returns the boolean value at the specified index in the Instance Index array
- getInstanceRange() -
Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
- Gets the number of instances forward to translate values between.
- getInstances() -
Method in interface weka.clusterers.forOPTICSAndDBScan.Databases.Database
- Returns the original instances delivered from WEKA
- getInstances() -
Method in class weka.clusterers.forOPTICSAndDBScan.Databases.SequentialDatabase
- Returns the original instances delivered from WEKA
- getInstances() -
Method in class weka.core.converters.AbstractSaver
- Gets instances that should be stored.
- getInstances() -
Method in interface weka.core.DistanceFunction
- returns the instances currently set.
- getInstances() -
Method in class weka.core.neighboursearch.NearestNeighbourSearch
- returns the instances currently set.
- getInstances() -
Method in class weka.core.NormalizableDistance
- returns the instances currently set.
- getInstances() -
Method in class weka.core.xml.XMLInstances
- returns the current instances, either the ones that were set or the ones
that were generated from the XML structure.
- getInstances() -
Method in class weka.experiment.PairedTTester
- Get the value of Instances.
- getInstances() -
Method in interface weka.experiment.Tester
- Get the value of Instances.
- getInstances() -
Method in class weka.gui.arffviewer.ArffPanel
- returns the instances of the panel, if none then NULL
- getInstances() -
Method in class weka.gui.arffviewer.ArffSortedTableModel
- returns the data
- getInstances() -
Method in class weka.gui.arffviewer.ArffTableModel
- returns the data
- getInstances() -
Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
- Get the training instances
- getInstances() -
Method in class weka.gui.explorer.DataGeneratorPanel
- returns the generated instances, null if the process was cancelled.
- getInstances() -
Method in class weka.gui.explorer.PreprocessPanel
- Gets the working set of instances.
- getInstances() -
Method in class weka.gui.SetInstancesPanel
- Gets the set of instances currently held by the panel
- getInstances() -
Method in class weka.gui.treevisualizer.Node
- This will return the Instances object related to this node.
- getInstances() -
Method in class weka.gui.ViewerDialog
- returns the currently displayed instances
- getInstances() -
Method in class weka.gui.visualize.VisualizePanel
- Get the master plot's instances
- getInstances1() -
Method in class weka.gui.visualize.VisualizePanelEvent
-
- getInstances2() -
Method in class weka.gui.visualize.VisualizePanelEvent
-
- getInstancesChecksum(Instances) -
Static method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary
- This method takes an Instances object and returns a checksum of its
toString method - that is the checksum of the .arff file that would
be created if the Instances object were transformed into an arff file
in the file system.
- getInstancesFromClass(Instances, int, int, double, Instances) -
Static method in class weka.estimators.EstimatorUtils
- Returns a dataset that contains all instances of a certain class value.
- getInstancesFromClass(Instances, int, double) -
Static method in class weka.estimators.EstimatorUtils
- Returns a dataset that contains of all instances of a certain class value.
- getInstancesFromValue(Instances, int, double) -
Static method in class weka.estimators.EstimatorUtils
- Returns a dataset that contains of all instances of a certain value
for the given attribute.
- getInstancesIndices() -
Method in class weka.filters.unsupervised.instance.RemoveRange
- Gets ranges of instances selected.
- getInstancesNoClass() -
Method in class weka.associations.Apriori
- Gets the instances without the class atrribute.
- getInstancesNoClass() -
Method in interface weka.associations.CARuleMiner
- Gets the instances without the class attribute
- getInstancesNoClass() -
Method in class weka.associations.PredictiveApriori
- Gets the instances without the class attribute
- getInstancesOnlyClass() -
Method in class weka.associations.Apriori
- Gets only the class attribute of the instances.
- getInstancesOnlyClass() -
Method in interface weka.associations.CARuleMiner
- Gets the class attribute and its values for all instances
- getInstancesOnlyClass() -
Method in class weka.associations.PredictiveApriori
- Gets the class attribute of all instances
- getInstancesValueAt(int, int) -
Method in class weka.gui.arffviewer.ArffSortedTableModel
- returns the double value of the underlying Instances object at the
given position, -1 if out of bounds
- getInstancesValueAt(int, int) -
Method in class weka.gui.arffviewer.ArffTableModel
- returns the double value of the underlying Instances object at the
given position, -1 if out of bounds
- getIntercept() -
Method in class weka.classifiers.functions.SimpleLinearRegression
- Returns the intercept of the function.
- getInternalCacheSize() -
Method in class weka.classifiers.functions.supportVector.StringKernel
- Gets the size of the internal cache
- getInternals() -
Method in class weka.classifiers.bayes.WAODE
- Gets whether more internals of the classifier are printed.
- getInterpolationParameter() -
Method in class weka.classifiers.misc.monotone.OSDLCore
- Returns the current value of the interpolation parameter.
- getInterpolationParameterLowerBound() -
Method in class weka.classifiers.misc.monotone.OSDLCore
- Returns the lower bound for the interpolation parameter tuning
(0 <= x < 1).
- getInterpolationParameterUpperBound() -
Method in class weka.classifiers.misc.monotone.OSDLCore
- Returns the upper bound for the interpolation parameter tuning
(0 < x <= 1).
- getInterpreter() -
Method in class weka.core.Jython
- returns the currently used Python Interpreter
- getInvert() -
Method in class weka.core.Range
- Gets whether the range sense is inverted, i.e.
- getInvert() -
Method in class weka.filters.unsupervised.instance.RemoveMisclassified
- Get whether selection is inverted.
- getInvertSelection() -
Method in interface weka.core.DistanceFunction
- Gets whether the matching sense of attribute indices is inverted or not.
- getInvertSelection() -
Method in class weka.core.NormalizableDistance
- Gets whether the matching sense of attribute indices is inverted or not.
- getInvertSelection() -
Method in class weka.filters.supervised.attribute.Discretize
- Gets whether the supplied columns are to be removed or kept
- getInvertSelection() -
Method in class weka.filters.supervised.instance.Resample
- Gets whether selection is inverted (only if instances are drawn WIHTOUT
replacement).
- getInvertSelection() -
Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
- Gets if selection is to be inverted.
- getInvertSelection() -
Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
- Get whether the supplied columns are to be removed or kept
- getInvertSelection() -
Method in class weka.filters.unsupervised.attribute.Copy
- Get whether the supplied columns are to be removed or kept
- getInvertSelection() -
Method in class weka.filters.unsupervised.attribute.Discretize
- Gets whether the supplied columns are to be removed or kept
- getInvertSelection() -
Method in class weka.filters.unsupervised.attribute.MathExpression
- Get whether the supplied columns are to be select or unselect
- getInvertSelection() -
Method in class weka.filters.unsupervised.attribute.NominalToBinary
- Gets whether the supplied columns are to be removed or kept
- getInvertSelection() -
Method in class weka.filters.unsupervised.attribute.NumericCleaner
- Gets whether the selection of the columns is inverted
- getInvertSelection() -
Method in class weka.filters.unsupervised.attribute.NumericToNominal
- Gets whether the supplied columns are to be worked on or the others.
- getInvertSelection() -
Method in class weka.filters.unsupervised.attribute.NumericTransform
- Get whether the supplied columns are to be transformed or not
- getInvertSelection() -
Method in class weka.filters.unsupervised.attribute.RELAGGS
- Gets whether the supplied columns are to be processed or skipped
- getInvertSelection() -
Method in class weka.filters.unsupervised.attribute.Remove
- Get whether the supplied columns are to be removed or kept
- getInvertSelection() -
Method in class weka.filters.unsupervised.attribute.RemoveType
- Get whether the supplied columns are to be removed or kept
- getInvertSelection() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Gets whether the supplied columns are to be processed or skipped.
- getInvertSelection() -
Method in class weka.filters.unsupervised.instance.RemoveFolds
- Gets if selection is to be inverted.
- getInvertSelection() -
Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
- Get whether the supplied columns are to be removed or kept
- getInvertSelection() -
Method in class weka.filters.unsupervised.instance.RemovePercentage
- Gets if selection is to be inverted.
- getInvertSelection() -
Method in class weka.filters.unsupervised.instance.RemoveRange
- Gets if selection is to be inverted.
- getInvertSelection() -
Method in class weka.filters.unsupervised.instance.RemoveWithValues
- Get whether the supplied columns are to be removed or kept
- getInvertSelection() -
Method in class weka.filters.unsupervised.instance.Resample
- Gets whether selection is inverted (only if instances are drawn WIHTOUT
replacement).
- getIteratorType() -
Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode
- getter for this node's iteratorType which will be one of the three
enumerated values
- getJavaInitializationString() -
Method in class weka.gui.CostMatrixEditor
- Returns the Java code that generates an object the same as the one being edited.
- getJavaInitializationString() -
Method in class weka.gui.EnsembleLibraryEditor
- Returns the Java code that generates an object the same as the one being
edited.
- getJavaInitializationString() -
Method in class weka.gui.FileEditor
- Returns a representation of the current property value as java source.
- getJavaInitializationString() -
Method in class weka.gui.GenericArrayEditor
- Supposedly returns an initialization string to create a classifier
identical to the current one, including it's state, but this doesn't
appear possible given that the initialization string isn't supposed to
contain multiple statements.
- getJavaInitializationString() -
Method in class weka.gui.GenericObjectEditor
- Supposedly returns an initialization string to create a Object
identical to the current one, including it's state, but this doesn't
appear possible given that the initialization string isn't supposed to
contain multiple statements.
- getJavaInitializationString() -
Method in class weka.gui.SelectedTagEditor
- Returns a description of the property value as java source.
- getJavaInitializationString() -
Method in class weka.gui.SimpleDateFormatEditor
- Returns the Java code that generates an object the same as the one being edited.
- getJTable() -
Method in class weka.gui.JTableHelper
- returns the JTable
- getJythonModule() -
Method in class weka.classifiers.JythonClassifier
- Gets the Jython module.
- getJythonOptions() -
Method in class weka.classifiers.JythonClassifier
- Gets the Jython module options.
- getJythonPaths() -
Method in class weka.classifiers.JythonClassifier
- Gets the additional Jython paths.
- getKDTree() -
Method in class weka.clusterers.XMeans
- Gets the KDTree class.
- getKernel() -
Method in class weka.classifiers.functions.GaussianProcesses
- Gets the kernel to use.
- getKernel() -
Method in class weka.classifiers.functions.SMO.BinarySMO
- Returns the kernel to use
- getKernel() -
Method in class weka.classifiers.functions.SMO
- Returns the kernel to use
- getKernel() -
Method in class weka.classifiers.functions.SMOreg
- Gets the kernel to use.
- getKernel() -
Method in class weka.classifiers.functions.supportVector.CheckKernel
- Get the kernel being tested
- getKernel() -
Method in class weka.classifiers.functions.SVMreg
- Returns the kernel to use
- getKernel() -
Method in class weka.classifiers.mi.MISMO
- Gets the kernel to use.
- getKernel() -
Method in class weka.classifiers.mi.MISVM
- Gets the kernel to use.
- getKernel() -
Method in class weka.filters.unsupervised.attribute.KernelFilter
- Gets the kernel to use.
- getKernelBandwidth() -
Method in class weka.gui.boundaryvisualizer.KDDataGenerator
- Get the kernel bandwidth
- getKernelEvaluations() -
Method in class weka.classifiers.functions.supportVector.RegOptimizer
- returns the number of kernel evaluations
- getKernelFactorExpression() -
Method in class weka.filters.unsupervised.attribute.KernelFilter
- Gets the expression for the kernel.
- getKernelMatrixFile() -
Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
- Gets the file containing the kernel matrix.
- getKernelType() -
Method in class weka.classifiers.functions.LibSVM
- Gets type of kernel function
- getKey() -
Method in interface weka.clusterers.forOPTICSAndDBScan.DataObjects.DataObject
- Returns the key for this DataObject
- getKey() -
Method in class weka.clusterers.forOPTICSAndDBScan.DataObjects.EuclidianDataObject
- Returns the key for this DataObject
- getKey() -
Method in class weka.clusterers.forOPTICSAndDBScan.DataObjects.ManhattanDataObject
- Returns the key for this DataObject
- getKey() -
Method in class weka.experiment.ClassifierSplitEvaluator
- Gets the key describing the current SplitEvaluator.
- getKey() -
Method in class weka.experiment.DensityBasedClustererSplitEvaluator
- Gets the key describing the current SplitEvaluator.
- getKey() -
Method in class weka.experiment.RegressionSplitEvaluator
- Gets the key describing the current SplitEvaluator.
- getKey() -
Method in interface weka.experiment.SplitEvaluator
- Gets the key describing the current SplitEvaluator.
- getKeyFieldName() -
Method in class weka.experiment.AveragingResultProducer
- Get the value of KeyFieldName.
- getKeyNames() -
Method in class weka.experiment.AveragingResultProducer
- Gets the names of each of the columns produced for a single run.
- getKeyNames() -
Method in class weka.experiment.ClassifierSplitEvaluator
- Gets the names of each of the key columns produced for a single run.
- getKeyNames() -
Method in class weka.experiment.CrossValidationResultProducer
- Gets the names of each of the columns produced for a single run.
- getKeyNames() -
Method in class weka.experiment.DatabaseResultProducer
- Gets the names of each of the columns produced for a single run.
- getKeyNames() -
Method in class weka.experiment.DensityBasedClustererSplitEvaluator
- Gets the names of each of the key columns produced for a single run.
- getKeyNames() -
Method in class weka.experiment.LearningRateResultProducer
- Gets the names of each of the columns produced for a single run.
- getKeyNames() -
Method in class weka.experiment.RandomSplitResultProducer
- Gets the names of each of the columns produced for a single run.
- getKeyNames() -
Method in class weka.experiment.RegressionSplitEvaluator
- Gets the names of each of the key columns produced for a single run.
- getKeyNames() -
Method in interface weka.experiment.ResultProducer
- Gets the names of each of the key columns produced for a single run.
- getKeyNames() -
Method in interface weka.experiment.SplitEvaluator
- Gets the names of each of the key columns produced for a single run.
- getKeys() -
Method in class weka.core.converters.DatabaseLoader
- Gets the key columns' name
- getKeyTypes() -
Method in class weka.experiment.AveragingResultProducer
- Gets the data types of each of the columns produced for a single run.
- getKeyTypes() -
Method in class weka.experiment.ClassifierSplitEvaluator
- Gets the data types of each of the key columns produced for a single run.
- getKeyTypes() -
Method in class weka.experiment.CrossValidationResultProducer
- Gets the data types of each of the columns produced for a single run.
- getKeyTypes() -
Method in class weka.experiment.DatabaseResultProducer
- Gets the data types of each of the columns produced for a single run.
- getKeyTypes() -
Method in class weka.experiment.DensityBasedClustererSplitEvaluator
- Gets the data types of each of the key columns produced for a single run.
- getKeyTypes() -
Method in class weka.experiment.LearningRateResultProducer
- Gets the data types of each of the columns produced for a single run.
- getKeyTypes() -
Method in class weka.experiment.RandomSplitResultProducer
- Gets the data types of each of the columns produced for a single run.
- getKeyTypes() -
Method in class weka.experiment.RegressionSplitEvaluator
- Gets the data types of each of the key columns produced for a single run.
- getKeyTypes() -
Method in interface weka.experiment.ResultProducer
- Gets the data types of each of the key columns produced for a single run.
- getKeyTypes() -
Method in interface weka.experiment.SplitEvaluator
- Gets the data types of each of the key columns produced for a single run.
- getKNN() -
Method in class weka.classifiers.lazy.IBk
- Gets the number of neighbours the learner will use.
- getKNN() -
Method in class weka.classifiers.lazy.LWL
- Gets the number of neighbours used for kernel bandwidth setting.
- getKValue() -
Method in class weka.classifiers.trees.RandomTree
- Get the value of K.
- getKWBias() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Get the calculated bias squared according to the Kohavi and Wolpert definition
- getKWSigma() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Get the calculated sigma according to the Kohavi and Wolpert definition
- getKWVariance() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Get the calculated variance according to the Kohavi and Wolpert definition
- getL() -
Method in class weka.core.matrix.CholeskyDecomposition
- Return triangular factor.
- getL() -
Method in class weka.core.Matrix
- Deprecated. Returns the L part of the matrix.
- getL() -
Method in class weka.core.matrix.LUDecomposition
- Return lower triangular factor
- getLabel() -
Method in class weka.gui.treevisualizer.Edge
- Get the value of label.
- getLabel() -
Method in class weka.gui.treevisualizer.Node
- Get the value of label.
- getLabels() -
Method in class weka.filters.unsupervised.attribute.AddValues
- Get the comma-separated list of labels that are added.
- getLambda() -
Method in class weka.classifiers.functions.supportVector.StringKernel
- Gets the lambda constant used in the string kernel
- getLast() -
Method in class weka.associations.tertius.SimpleLinkedList
-
- getLastLiteral() -
Method in class weka.associations.tertius.LiteralSet
- Give the last literal added to this set.
- getLeaf() -
Method in class weka.classifiers.trees.j48.GraftSplit
-
- getLearningRate() -
Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getLegendText() -
Method in class weka.gui.beans.ChartEvent
- Get the legend text vector
- getLevel() -
Method in class weka.gui.HierarchyPropertyParser
- Get the level of current node.
- getLibrary() -
Method in class weka.classifiers.meta.EnsembleSelection
- Gets the ensemble library.
- getLibrary() -
Method in class weka.gui.ensembleLibraryEditor.ListModelsPanel
- returns the current library
- getLikelihoodThreshold() -
Method in class weka.classifiers.meta.LogitBoost
- Get the value of Precision.
- getLine(int) -
Method in class weka.gui.treevisualizer.Edge
- Returns line number n
- getLine(int) -
Method in class weka.gui.treevisualizer.Node
- Returns the text String for the specfied line.
- getLineNo() -
Method in class weka.core.converters.ArffLoader.ArffReader
- returns the current line number
- getLinkAt(int) -
Method in class weka.attributeSelection.BestFirst.LinkedList2
- returns the element (Link) at a specific index from the list.
- getLinkAt(int) -
Method in class weka.attributeSelection.LFSMethods.LinkedList2
- returns the element (Link) at a specific index from the list.
- getList() -
Method in class weka.gui.ResultHistoryPanel
- Gets the JList used by the results list
- getListCellRendererComponent(JList, Object, int, boolean, boolean) -
Method in class weka.gui.CheckBoxList.CheckBoxListRenderer
- Return a component that has been configured to display the specified
value.
- getListCellRendererComponent(JList, Object, int, boolean, boolean) -
Method in class weka.gui.ensembleLibraryEditor.ModelList.ModelListRenderer
- This is the only method necessary to overload.
- getListCellRendererComponent(JList, Object, int, boolean, boolean) -
Method in class weka.gui.experiment.AlgorithmListPanel.ObjectCellRenderer
- Return a component that has been configured to display the specified
value.
- getListCellRendererComponent(JList, Object, int, boolean, boolean) -
Method in class weka.gui.sql.InfoPanelCellRenderer
- Return a component that has been configured to display the specified value.
- getLiteral(int) -
Method in class weka.associations.tertius.Predicate
-
- getLNorm() -
Method in class weka.filters.unsupervised.instance.Normalize
- Get the L Norm used.
- getLoader() -
Method in class weka.core.converters.ConverterUtils.DataSource
- returns the determined loader, null if the DataSource was initialized
with data alone and not a file/URL.
- getLoader() -
Method in class weka.gui.beans.Loader
- Get the loader
- getLoader() -
Method in class weka.gui.ConverterFileChooser
- returns the loader that was chosen by the user, can be null in case the
user aborted the dialog or the save dialog was shown
- getLoader() -
Method in class weka.gui.SetInstancesPanel
- Gets the currently used Loader
- getLoaderForExtension(String) -
Static method in class weka.core.converters.ConverterUtils
- tries to determine the loader to use for this kind of extension, returns
null if none can be found.
- getLoaderForFile(String) -
Static method in class weka.core.converters.ConverterUtils
- tries to determine the loader to use for this kind of file, returns
null if none can be found.
- getLoaderForFile(File) -
Static method in class weka.core.converters.ConverterUtils
- tries to determine the loader to use for this kind of file, returns
null if none can be found.
- getLocallyPredictive() -
Method in class weka.attributeSelection.CfsSubsetEval
- Return true if including locally predictive attributes
- getLocator(int) -
Method in class weka.core.AttributeLocator
- Returns the AttributeLocator at the given index.
- getLocatorIndices() -
Method in class weka.core.AttributeLocator
- Returns the indices of the AttributeLocator objects.
- getLog() -
Method in class weka.classifiers.pmml.consumer.PMMLClassifier
- Get the logger.
- getLog() -
Method in class weka.core.Debug.Random
- the currently used log, if null then stdout is used for outputting
the debugging information
- getLog() -
Method in interface weka.core.pmml.PMMLModel
- Get the logger.
- getLogFile() -
Method in class weka.classifiers.meta.GridSearch
- Gets current log file.
- getLoglikeliHood(double[], Instances) -
Method in class weka.classifiers.bayes.BayesianLogisticRegression
-
- getLoglikelihood() -
Method in class weka.classifiers.bayes.blr.Prior
-
- getLogLikelihood() -
Method in class weka.clusterers.ClusterEvaluation
- Return the log likelihood corresponding to the most recent
set of instances clustered.
- getLogPosterior() -
Method in class weka.classifiers.bayes.blr.Prior
-
- getLogProbForTargetClass(Instance) -
Method in class weka.classifiers.bayes.DMNBtext.DNBBinary
- Calculates the class membership probabilities for the given test
instance.
- getLookupCacheSize() -
Method in class weka.attributeSelection.BestFirst
- Return the maximum size of the evaluated subset cache (expressed as a multiplier
for the number of attributes in a data set.
- getLookupCacheSize() -
Method in class weka.attributeSelection.LinearForwardSelection
- Return the maximum size of the evaluated subset cache (expressed as a
multiplier for the number of attributes in a data set.
- getLookupCacheSize() -
Method in class weka.attributeSelection.SubsetSizeForwardSelection
- Return the maximum size of the evaluated subset cache (expressed as a
multiplier for the number of attributes in a data set.
- getLoss() -
Method in class weka.classifiers.functions.LibSVM
- Gets the epsilon in loss function of epsilon-SVR
- getLower() -
Method in class weka.gui.experiment.RunNumberPanel
- Gets the current lower run number.
- getLowerBound() -
Method in class weka.classifiers.misc.monotone.OSDLCore
- Returns the current value of the lower bound for the interpolation
parameter.
- getLowerBoundMinSupport() -
Method in class weka.associations.Apriori
- Get the value of lowerBoundMinSupport.
- getLowerCaseTokens() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Gets whether if the tokens are to be downcased or not.
- getLowerNumericBound() -
Method in class weka.core.Attribute
- Returns the lower bound of a numeric attribute.
- getLowerSize() -
Method in class weka.experiment.LearningRateResultProducer
- Get the value of LowerSize.
- getM5RootNode() -
Method in class weka.classifiers.trees.m5.M5Base
-
- getM5RootNode() -
Method in class weka.classifiers.trees.m5.Rule
-
- getMainPanel() -
Method in class weka.gui.arffviewer.ArffViewer
- returns the main panel
- getMajorityClass() -
Method in class weka.classifiers.rules.Ridor
-
- getMakeBinary() -
Method in class weka.filters.supervised.attribute.Discretize
- Gets whether binary attributes should be made for discretized ones.
- getMakeBinary() -
Method in class weka.filters.unsupervised.attribute.Discretize
- Gets whether binary attributes should be made for discretized ones.
- getManualThresholdValue() -
Method in class weka.classifiers.meta.ThresholdSelector
- Returns the value of the manual threshold.
- getMargin(int) -
Method in class weka.classifiers.bayes.net.EditableBayesNet
- return marginal distibution for a node
- getMargin(int) -
Method in class weka.classifiers.bayes.net.MarginCalculator
-
- getMarkovBlanketClassifier() -
Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
- getMarkovBlanketClassifier() -
Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
-
- getMasterPlot() -
Method in class weka.gui.visualize.Plot2D
- Get the master plot
- getMatches() -
Method in class weka.core.FindWithCapabilities
- returns the matches from the last find call.
- getMatches(String) -
Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
- returns all the matches with the partial search string, files or
classes.
- getMatchMissingValues() -
Method in class weka.filters.unsupervised.instance.RemoveWithValues
- Gets whether missing values are counted as a match.
- getMatrix(int, int, int, int) -
Method in class weka.core.matrix.Matrix
- Get a submatrix.
- getMatrix(int[], int[]) -
Method in class weka.core.matrix.Matrix
- Get a submatrix.
- getMatrix(int, int, int[]) -
Method in class weka.core.matrix.Matrix
- Get a submatrix.
- getMatrix(int[], int, int) -
Method in class weka.core.matrix.Matrix
- Get a submatrix.
- getMax() -
Method in class weka.core.Memory
- returns the maximum amount of memory that can be assigned
- getMax() -
Method in class weka.gui.beans.ChartEvent
- Get the max y value
- getMaxArray() -
Method in class weka.filters.unsupervised.attribute.Normalize
- Returns the calculated maximum values for the attributes in the data.
- getMaxBoostingIterations() -
Method in class weka.classifiers.functions.SimpleLogistic
- Get the value of maxBoostingIterations.
- getMaxBranchingFactor() -
Method in class weka.associations.HotSpot
- Get the maximum branching factor
- getMaxC() -
Method in class weka.gui.visualize.Plot2D
- Return the current max value of the colouring attribute
- getMaxCardinality() -
Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
- returns the max cardinality
- getMaxCardinality() -
Method in class weka.filters.unsupervised.attribute.RELAGGS
- Gets the maximum number of values allowed for nominal attributes, before
they're skipped.
- getMaxChunkSize() -
Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
- Get the maximum chunk size
- getMaxCoordsPerPoint() -
Method in class weka.core.neighboursearch.PerformanceStats
- Returns the maximum of coords per point.
- getMaxCost(int) -
Method in class weka.classifiers.CostMatrix
- Gets the maximum cost for a particular class value.
- getMaxCost(int, Instance) -
Method in class weka.classifiers.CostMatrix
- Gets the maximum cost for a particular class value.
- getMaxCount() -
Method in class weka.filters.supervised.instance.SpreadSubsample
- Gets the value for the max count
- getMaxDefault() -
Method in class weka.filters.unsupervised.attribute.NumericCleaner
- Get the maximum default.
- getMaxDepth() -
Method in class weka.classifiers.trees.RandomForest
- Get the maximum depth of trh tree, 0 for unlimited.
- getMaxDepth() -
Method in class weka.classifiers.trees.RandomTree
- Get the maximum depth of trh tree, 0 for unlimited.
- getMaxDepth() -
Method in class weka.classifiers.trees.REPTree
- Get the value of MaxDepth.
- getMaxDepth() -
Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
- Returns the depth of the built tree.
- getMaxGenerations() -
Method in class weka.attributeSelection.GeneticSearch
- get the number of generations
- getMaxGridExtensions() -
Method in class weka.classifiers.meta.GridSearch
- Gets the maximum number of grid extensions, -1 for unlimited.
- getMaxGroup() -
Method in class weka.classifiers.meta.RotationForest
- Gets the maximum size of a group.
- getMaximalCumulativeDiscreteDistribution(int) -
Static method in class weka.classifiers.misc.monotone.DistributionUtils
- Get the maximal
CumulativeDiscreteDistribution
over numClasses elements.
- getMaximumAttributeNames() -
Method in class weka.attributeSelection.LatentSemanticAnalysis
- Gets maximum number of attributes to include in
transformed attribute names.
- getMaximumAttributeNames() -
Method in class weka.attributeSelection.PrincipalComponents
- Gets maximum number of attributes to include in
transformed attribute names.
- getMaximumAttributeNames() -
Method in class weka.filters.unsupervised.attribute.PrincipalComponents
- Gets maximum number of attributes to include in
transformed attribute names.
- getMaximumAttributes() -
Method in class weka.filters.unsupervised.attribute.PrincipalComponents
- Gets maximum number of PC attributes to retain.
- getMaximumVariancePercentageAllowed() -
Method in class weka.filters.unsupervised.attribute.RemoveUseless
- Gets the maximum variance attributes are allowed to have before they are
deleted by the filter.
- getMaxInstancesInLeaf() -
Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
- Returns the maximum number of instances allowed in a leaf.
- getMaxInstInLeaf() -
Method in class weka.core.neighboursearch.KDTree
- Get the maximum number of instances in a leaf.
- getMaxInstNum() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Gets the upper boundary for instances per cluster.
- getMaxInstNum() -
Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
- Gets the upper boundary for instances per cluster.
- getMaxIntNodesVisited() -
Method in class weka.core.neighboursearch.TreePerformanceStats
- returns the maximum of internal nodes visited.
- getMaxIterations() -
Method in class weka.classifiers.bayes.BayesianLogisticRegression
- Get the maximum number of iterations to perform
- getMaxIterations() -
Method in class weka.classifiers.mi.MIBoost
- Get the maximum number of boost iterations
- getMaxIterations() -
Method in class weka.classifiers.mi.MISVM
- Gets the maximum number of iterations.
- getMaxIterations() -
Method in class weka.classifiers.trees.lmt.LogisticBase
- Returns the maxIterations parameter.
- getMaxIterations() -
Method in class weka.clusterers.EM
- Get the maximum number of iterations
- getMaxIterations() -
Method in class weka.clusterers.sIB
- Get the max number of iterations
- getMaxIterations() -
Method in class weka.clusterers.SimpleKMeans
- gets the number of maximum iterations to be executed
- getMaxIterations() -
Method in class weka.clusterers.XMeans
- Gets the maximum number of iterations.
- getMaxIterations() -
Method in class weka.filters.unsupervised.instance.RemoveMisclassified
- Gets the maximum number of cleansing iterations performed
- getMaxIts() -
Method in class weka.classifiers.functions.Logistic
- Get the value of MaxIts.
- getMaxIts() -
Method in class weka.classifiers.functions.RBFNetwork
- Get the value of MaxIts.
- getMaxK() -
Method in class weka.classifiers.functions.VotedPerceptron
- Get the value of maxK.
- getMaxKMeans() -
Method in class weka.clusterers.XMeans
- Gets the maximum number of iterations in KMeans.
- getMaxKMeansForChildren() -
Method in class weka.clusterers.XMeans
- Gets the maximum number of iterations in KMeans.
- getMaxLeavesVisited() -
Method in class weka.core.neighboursearch.TreePerformanceStats
- Returns the maximum number of leaves visited.
- getMaxNrOfParents() -
Method in class weka.classifiers.bayes.net.search.global.HillClimber
- Gets the max number of parents.
- getMaxNrOfParents() -
Method in class weka.classifiers.bayes.net.search.global.K2
- Gets the max number of parents.
- getMaxNrOfParents() -
Method in class weka.classifiers.bayes.net.search.local.HillClimber
- Gets the max number of parents.
- getMaxNrOfParents() -
Method in class weka.classifiers.bayes.net.search.local.K2
- Gets the max number of parents.
- getMaxNrOfParents() -
Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
- Gets the max number of parents.
- getMaxNumClusters() -
Method in class weka.clusterers.XMeans
- Gets the maximum number of clusters to generate.
- getMaxPlots() -
Method in class weka.gui.beans.AttributeSummarizer
- Get the number of plots to display
- getMaxPointsVisited() -
Method in class weka.core.neighboursearch.PerformanceStats
- Returns the maximum of points visited.
- getMaxRadius() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Gets the upper boundary for the radiuses of the clusters.
- getMaxRange() -
Method in class weka.datagenerators.classifiers.regression.MexicanHat
- Gets the upper boundary for the range of x
- getMaxRelativeLeafRadius() -
Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
- Returns the maximum relative radius of a leaf node.
- getMaxRows() -
Method in class weka.gui.sql.event.QueryExecuteEvent
- returns the maximum number of rows to retrieve.
- getMaxRows() -
Method in class weka.gui.sql.QueryPanel
- returns the current value for the maximum number of rows.
- getMaxRows() -
Method in class weka.gui.sql.ResultSetHelper
- the maximum number of rows to retrieve, less than 1 means unlimited.
- getMaxRuleSize() -
Method in class weka.datagenerators.classifiers.classification.RDG1
- Gets the maximum number of tests in rules.
- getMaxRunNumber() -
Method in class weka.gui.beans.BatchClassifierEvent
- Get the maximum run number
- getMaxRunNumber() -
Method in class weka.gui.beans.TestSetEvent
- Get the maximum number of runs.
- getMaxRunNumber() -
Method in class weka.gui.beans.TrainingSetEvent
- Get the maximum number of runs.
- getMaxSetNumber() -
Method in class weka.gui.beans.BatchClassifierEvent
- Get the maximum set number (ie the total number of training
and testing sets in the series).
- getMaxSetNumber() -
Method in class weka.gui.beans.BatchClustererEvent
- Get the maximum set number (ie the total number of training
and testing sets in the series).
- getMaxSetNumber() -
Method in class weka.gui.beans.TestSetEvent
- Get the maximum set number
- getMaxSetNumber() -
Method in class weka.gui.beans.TrainingSetEvent
- Get the maximum set number
- getMaxSubsequenceLength() -
Method in class weka.classifiers.functions.supportVector.StringKernel
- Returns the maximum length of the subsequence
- getMaxThreshold() -
Method in class weka.filters.unsupervised.attribute.NumericCleaner
- Get the maximum threshold.
- getMaxValue() -
Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
- getMaxVersion() -
Method in interface weka.gui.visualize.plugins.VisualizePlugin
- Get the maximum version of Weka, exclusive, the class
is designed to work with.
- getMaxX() -
Method in class weka.gui.visualize.Plot2D
- Return the current max value of the attribute plotted on the x axis
- getMaxXBound() -
Method in class weka.gui.boundaryvisualizer.BoundaryPanel
- Gets the maximum x-coordinate bound, in training-instance units (not mouse coordinates).
- getMaxY() -
Method in class weka.gui.visualize.Plot2D
- Return the current max value of the attribute plotted on the y axis
- getMaxYBound() -
Method in class weka.gui.boundaryvisualizer.BoundaryPanel
- Gets the maximum x-coordinate bound, in training-instance units (not mouse coordinates).
- getMean() -
Method in class weka.estimators.NormalEstimator
- Return the value of the mean of this normal estimator.
- getMean(int, int) -
Method in class weka.experiment.ResultMatrix
- returns the mean at the given position, if the position is valid,
otherwise 0
- getMeanCoordsPerPoint() -
Method in class weka.core.neighboursearch.PerformanceStats
- Returns the mean of coords per point.
- getMeanIntNodesVisited() -
Method in class weka.core.neighboursearch.TreePerformanceStats
- Returns the mean of internal nodes visited.
- getMeanLeavesVisited() -
Method in class weka.core.neighboursearch.TreePerformanceStats
- Returns the mean of number of leaves visited.
- getMeanPointsVisited() -
Method in class weka.core.neighboursearch.PerformanceStats
- Returns the mean of points visited.
- getMeanPrec() -
Method in class weka.experiment.ResultMatrix
- returns the current precision for the means
- getMeanPrec() -
Method in class weka.gui.experiment.OutputFormatDialog
- Gets the precision used for printing the mean.
- getMeanPrecision() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns the default precision for the mean
- getMeans() -
Method in class weka.estimators.KernelEstimator
- Return the means of the kernels.
- getMeanSquared() -
Method in class weka.classifiers.lazy.IBk
- Gets whether the mean squared error is used rather than mean
absolute error when doing cross-validation.
- getMeanStddev() -
Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
- returns the current mean/stddev setup
- getMeanValue() -
Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
- getMeanWidth() -
Method in class weka.experiment.ResultMatrix
- returns the current width for the mean
- getMeasure(String) -
Method in class weka.classifiers.bayes.BayesNet
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.functions.SimpleLogistic
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.functions.SVMreg
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.lazy.IBk
- Returns the value of the named measure from the
neighbour search algorithm, plus the chosen K in case
cross-validation is enabled.
- getMeasure(String) -
Method in class weka.classifiers.lazy.LWL
- Returns the value of the named measure from the
neighbour search algorithm.
- getMeasure(String) -
Method in class weka.classifiers.meta.AdditiveRegression
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.meta.AttributeSelectedClassifier
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.meta.Bagging
- Returns the value of the named measure.
- getMeasure(String) -
Method in class weka.classifiers.meta.GridSearch
- Returns the value of the named measure
- getMeasure() -
Method in class weka.classifiers.meta.ThresholdSelector
- get measure used for determining threshold
- getMeasure(String) -
Method in class weka.classifiers.misc.FLR
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.rules.DecisionTable
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.rules.DTNB
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.rules.JRip
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.rules.PART
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.rules.Ridor
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.trees.ADTree
- Returns the value of the named measure.
- getMeasure(String) -
Method in class weka.classifiers.trees.BFTree
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.trees.FT
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.trees.J48
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.trees.J48graft
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.trees.LADTree
- Returns the value of the named measure.
- getMeasure(String) -
Method in class weka.classifiers.trees.LMT
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.trees.m5.M5Base
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.trees.NBTree
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.classifiers.trees.RandomForest
- Returns the value of the named measure.
- getMeasure(String) -
Method in class weka.classifiers.trees.REPTree
- Returns the value of the named measure.
- getMeasure(String) -
Method in class weka.classifiers.trees.SimpleCart
- Returns the value of the named measure.
- getMeasure(String) -
Method in interface weka.core.AdditionalMeasureProducer
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.core.neighboursearch.BallTree
- Returns the value of the named measure.
- getMeasure(String) -
Method in class weka.core.neighboursearch.CoverTree
- Returns the value of the named measure.
- getMeasure(String) -
Method in class weka.core.neighboursearch.KDTree
- Returns the value of the named measure.
- getMeasure(String) -
Method in class weka.core.neighboursearch.NearestNeighbourSearch
- Returns the value of the named measure.
- getMeasure(String) -
Method in class weka.core.neighboursearch.PerformanceStats
- Returns the value of the named measure.
- getMeasure(String) -
Method in class weka.core.neighboursearch.TreePerformanceStats
- Returns the value of the named measure.
- getMeasure(String) -
Method in class weka.experiment.AveragingResultProducer
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.experiment.ClassifierSplitEvaluator
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.experiment.CrossValidationResultProducer
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.experiment.DatabaseResultProducer
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.experiment.DensityBasedClustererSplitEvaluator
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.experiment.LearningRateResultProducer
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.experiment.RandomSplitResultProducer
- Returns the value of the named measure
- getMeasure(String) -
Method in class weka.experiment.RegressionSplitEvaluator
- Returns the value of the named measure
- getMeasurePerformance() -
Method in class weka.core.neighboursearch.NearestNeighbourSearch
- Gets whether performance statistics are being calculated or not.
- getMenu() -
Method in class weka.gui.arffviewer.ArffViewerMainPanel
- returns the menu bar to be added in a frame
- getMenuBar() -
Method in class weka.classifiers.bayes.net.GUI
- Get the menu bar for this application.
- getMenuTitle() -
Method in interface weka.gui.MainMenuExtension
- Returns the name of the menu item.
- getMestWeight() -
Method in class weka.classifiers.bayes.AODEsr
- Gets the weight used in m-estimate
- getMetaClassifier() -
Method in class weka.classifiers.meta.Stacking
- Gets the meta classifier.
- getMetadata() -
Method in class weka.core.Attribute
- Returns the properties supplied for this attribute.
- getMetaData() -
Method in class weka.core.converters.DatabaseConnection
- Gets meta data for the database connection object.
- getMethod() -
Method in class weka.classifiers.functions.neural.NeuralNode
-
- getMethod() -
Method in class weka.classifiers.meta.MultiClassClassifier
- Gets the method used.
- getMethod() -
Method in class weka.classifiers.mi.MIWrapper
- Get the method used in testing.
- getMethodName() -
Method in class weka.filters.unsupervised.attribute.NumericTransform
- Get the transformation method.
- getMetric(Evaluation, int) -
Static method in class weka.classifiers.meta.ensembleSelection.EnsembleMetricHelper
- Given an Evaluation object and metric, call the appropriate function to get
the value for that metric and return it.
- getMetricType() -
Method in class weka.associations.Apriori
- Get the metric type
- getMiddle(double[]) -
Method in class weka.core.EuclideanDistance
- Returns value in the middle of the two parameter values.
- getMidPoints() -
Method in class weka.associations.PriorEstimation
- returns an ordered array of all mid points
- getMin() -
Method in class weka.gui.beans.ChartEvent
- Get the min y value
- getMinArray() -
Method in class weka.filters.unsupervised.attribute.Normalize
- Returns the calculated minimum values for the attributes in the data.
- getMinBoxRelWidth() -
Method in class weka.core.neighboursearch.KDTree
- Gets the minimum relative box width.
- getMinBucketSize() -
Method in class weka.classifiers.rules.OneR
- Get the value of minBucketSize.
- getMinC() -
Method in class weka.gui.visualize.Plot2D
- Return the current min value of the colouring attribute
- getMinChange() -
Method in class weka.clusterers.sIB
- get the minimum number of changes
- getMinChunkSize() -
Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
- Get the minimum chunk size
- getMinCoordsPerPoint() -
Method in class weka.core.neighboursearch.PerformanceStats
- Returns the minimum of coords per point.
- getMinDefault() -
Method in class weka.filters.unsupervised.attribute.NumericCleaner
- Get the minimum default.
- getMinFunction() -
Method in class weka.core.Optimization
- Get the minimal function value
- getMinGroup() -
Method in class weka.classifiers.meta.RotationForest
- Gets the minimum size of a group.
- getMinimalCumulativeDiscreteDistribution(int) -
Static method in class weka.classifiers.misc.monotone.DistributionUtils
- Get the minimal
CumulativeDiscreteDistribution
over numClasses elements.
- getMinimax() -
Method in class weka.classifiers.mi.MISMO
- Check if the MIMinimax feature space is to be used.
- getMinimizeExpectedCost() -
Method in class weka.classifiers.meta.CostSensitiveClassifier
- Gets the value of MinimizeExpectedCost.
- getMinimizeTarget() -
Method in class weka.associations.HotSpot
- Get whether to minimize the target rather than maximize
- getMinImprovement() -
Method in class weka.associations.HotSpot
- Get the minimum improvement in the target necessary to add a test
- getMinimumBucketSize() -
Method in class weka.attributeSelection.OneRAttributeEval
- Get the minimum bucket size used by oneR
- getMinimumNumberInstances() -
Method in class weka.core.Capabilities
- returns the minimum number of instances that have to be in the dataset
- getMiningFields() -
Method in class weka.core.pmml.MiningSchema
-
- getMiningSchema() -
Method in class weka.classifiers.pmml.consumer.PMMLClassifier
- Get the mining schema for this model.
- getMiningSchema() -
Method in interface weka.core.pmml.PMMLModel
- Get the mining schema.
- getMiningSchemaAsInstances() -
Method in class weka.core.pmml.MiningSchema
- Get the mining schema fields as an Instances object.
- getMinInstNum() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Gets the lower boundary for instances per cluster.
- getMinInstNum() -
Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
- Gets the lower boundary for instances per cluster.
- getMinIntNodesVisited() -
Method in class weka.core.neighboursearch.TreePerformanceStats
- Returns the minimum of internal nodes visited.
- getMinLeavesVisited() -
Method in class weka.core.neighboursearch.TreePerformanceStats
- Returns the minimum number of leaves visited.
- getMinLevel() -
Method in class weka.core.logging.Logger
- Returns the minimum level log messages must have in order to appear in
the log.
- getMinMax(Instances, int, double[]) -
Static method in class weka.estimators.CheckEstimator
- Find the minimum and the maximum of the attribute and return it in
the last parameter..
- getMinMax(Instances, int, double[]) -
Static method in class weka.estimators.EstimatorUtils
- Find the minimum and the maximum of the attribute and return it in
the last parameter..
- getMinMaxExtension() -
Method in class weka.classifiers.misc.MinMaxExtension
- Return if the minimal extension is in effect.
- getMinMetric() -
Method in class weka.associations.Apriori
- Get the value of minConfidence.
- getMinNo() -
Method in class weka.classifiers.rules.ConjunctiveRule
- Gets the minimum total weight of the instances in a rule
- getMinNo() -
Method in class weka.classifiers.rules.JRip
- Gets the minimum total weight of the instances in a rule
- getMinNo() -
Method in class weka.classifiers.rules.Ridor
-
- getMinNum() -
Method in class weka.classifiers.trees.RandomTree
- Get the value of MinNum.
- getMinNum() -
Method in class weka.classifiers.trees.REPTree
- Get the value of MinNum.
- getMinNumClusters() -
Method in class weka.clusterers.XMeans
- Gets the minimum number of clusters to generate.
- getMinNumInstances() -
Method in class weka.classifiers.trees.FT
- Get the value of minNumInstances.
- getMinNumInstances() -
Method in class weka.classifiers.trees.LMT
- Get the value of minNumInstances.
- getMinNumInstances() -
Method in class weka.classifiers.trees.m5.M5Base
- Get the minimum number of instances to allow at a leaf node
- getMinNumInstances() -
Method in class weka.classifiers.trees.m5.Rule
- Get the minimum number of instances to allow at a leaf node
- getMinNumInstances() -
Method in class weka.classifiers.trees.m5.RuleNode
- Get the minimum number of instances to allow at a leaf node
- getMinNumObj() -
Method in class weka.classifiers.rules.PART
- Get the value of minNumObj.
- getMinNumObj() -
Method in class weka.classifiers.trees.BFTree
- Get minimal number of instances at the terminal nodes.
- getMinNumObj() -
Method in class weka.classifiers.trees.J48
- Get the value of minNumObj.
- getMinNumObj() -
Method in class weka.classifiers.trees.J48graft
- Get the value of minNumObj.
- getMinNumObj() -
Method in class weka.classifiers.trees.SimpleCart
- Get minimal number of instances at the terminal nodes.
- getMinPoints() -
Method in class weka.clusterers.DBScan
- Returns the value of minPoints
- getMinPoints() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.SERObject
- Returns the number of minPoints
- getMinPoints() -
Method in class weka.clusterers.OPTICS
- Returns the value of minPoints
- getMinPointsVisited() -
Method in class weka.core.neighboursearch.PerformanceStats
- Returns the minimum of points visited.
- getMinRadius() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Gets the lower boundary for the radiuses of the clusters.
- getMinRange() -
Method in class weka.datagenerators.classifiers.regression.MexicanHat
- Gets the lower boundary for the range of x
- getMinRuleSize() -
Method in class weka.datagenerators.classifiers.classification.RDG1
- Gets the minimum number of tests in rules.
- getMinStdDev() -
Method in class weka.classifiers.functions.RBFNetwork
- Get the MinStdDev value.
- getMinStdDev() -
Method in class weka.clusterers.EM
- Get the minimum allowable standard deviation.
- getMinStdDev() -
Method in class weka.clusterers.MakeDensityBasedClusterer
- Get the minimum allowable standard deviation.
- getMinSupport() -
Method in class weka.associations.GeneralizedSequentialPatterns
- Returns the minimum support threshold.
- getMinTermFreq() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Get the MinTermFreq value.
- getMinThreshold() -
Method in class weka.filters.unsupervised.attribute.NumericCleaner
- Get the minimum threshold.
- getMinValue() -
Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
- getMinVarianceProp() -
Method in class weka.classifiers.trees.REPTree
- Get the value of MinVarianceProp.
- getMinVersion() -
Method in interface weka.gui.visualize.plugins.VisualizePlugin
- Get the minimum version of Weka, inclusive, the class
is designed to work with.
- getMinX() -
Method in class weka.gui.visualize.Plot2D
- Return the current min value of the attribute plotted on the x axis
- getMinXBound() -
Method in class weka.gui.boundaryvisualizer.BoundaryPanel
- Gets the minimum x-coordinate bound, in training-instance units (not mouse coordinates).
- getMinY() -
Method in class weka.gui.visualize.Plot2D
- Return the current min value of the attribute plotted on the y axis
- getMinYBound() -
Method in class weka.gui.boundaryvisualizer.BoundaryPanel
- Gets the minimum y-coordinate bound, in training-instance units (not mouse coordinates).
- getMisses() -
Method in class weka.core.FindWithCapabilities
- returns the misses from the last find call.
- getMissingMerge() -
Method in class weka.attributeSelection.ChiSquaredAttributeEval
- get whether missing values are being distributed or not
- getMissingMerge() -
Method in class weka.attributeSelection.GainRatioAttributeEval
- get whether missing values are being distributed or not
- getMissingMerge() -
Method in class weka.attributeSelection.InfoGainAttributeEval
- get whether missing values are being distributed or not
- getMissingMerge() -
Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
- get whether missing values are being distributed or not
- getMissingMerge() -
Method in class weka.attributeSelection.SymmetricalUncertAttributeSetEval
- get whether missing values are being distributed or not
- getMissingMode() -
Method in class weka.classifiers.lazy.KStar
- Gets the method to use for handling missing values.
- getMissingSeperate() -
Method in class weka.attributeSelection.CfsSubsetEval
- Return true is missing is treated as a seperate value
- getMissingValues() -
Method in class weka.associations.Tertius
- Get the value of missingValues.
- getMissingValueTreatmentMethod() -
Method in class weka.core.pmml.MiningFieldMetaInfo
- Get the missing value treatment method for this field.
- getMixingDistribution() -
Method in class weka.classifiers.functions.pace.MixtureDistribution
- Gets the mixing distribution
- getModel() -
Method in class weka.classifiers.functions.LibLINEAR
-
- getModel() -
Method in class weka.classifiers.trees.m5.RuleNode
- Get the linear model at this node
- getModel() -
Method in class weka.gui.SortedTableModel
- returns the current model, can be null
- getModelClass() -
Method in class weka.classifiers.EnsembleLibraryModel
- getter for the modelClass
- getModelFile() -
Method in class weka.classifiers.misc.SerializedClassifier
- Gets the file containing the serialized model.
- getModelListFile() -
Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary
- Gets the model list file that holds the list of models
in the ensemble library.
- getModelNames() -
Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary
- This method will return a Set object containing all the
String representations of the models.
- getModelParameters() -
Method in class weka.classifiers.trees.ft.FTtree
- Returns a string describing the number of LogitBoost iterations performed at this node, the total number
of LogitBoost iterations performed (including iterations at higher levels in the tree), and the number
of training examples at this node.
- getModelParameters() -
Method in class weka.classifiers.trees.lmt.LMTNode
- Returns a string describing the number of LogitBoost iterations performed at this node, the total number
of LogitBoost iterations performed (including iterations at higher levels in the tree), and the number
of training examples at this node.
- getModelRatio() -
Method in class weka.classifiers.meta.EnsembleSelection
- Get the value of modelRatio.
- getModels() -
Method in class weka.classifiers.EnsembleLibrary
- getter for the set of models in this library
- getModels() -
Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel
- Returs the array of classifiers
- getModelType() -
Method in class weka.classifiers.trees.FT
- Get the type of functional tree model being used.
- getModelValueAt(int, int) -
Method in class weka.gui.arffviewer.ArffSortedTableModel
- returns the value at the given position
- getModelWeights() -
Method in class weka.classifiers.meta.ensembleSelection.ModelBag
- returns the model weights
- getModifyHeader() -
Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
- Gets whether the header will be modified when selecting on nominal
attributes.
- getModifyHeader() -
Method in class weka.filters.unsupervised.instance.RemoveWithValues
- Gets whether the header will be modified when selecting on nominal
attributes.
- getMomentum() -
Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getMultiInstance() -
Method in class weka.core.TestInstances
- Gets whether multi-instance data (with a fixed structure) is generated
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.CitationKNN
- Returns the capabilities of this multi-instance classifier for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.MDD
- Returns the capabilities of this multi-instance classifier for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.MIBoost
- Returns the capabilities of this multi-instance classifier for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.MIDD
- Returns the capabilities of this multi-instance classifier for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.MIEMDD
- Returns the capabilities of this multi-instance classifier for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.MILR
- Returns the capabilities of this multi-instance classifier for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.MINND
- Returns the capabilities of this multi-instance classifier for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.MIOptimalBall
- Returns the capabilities of this multi-instance classifier for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.MISMO
- Returns the capabilities of this multi-instance classifier for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.MISVM
- Returns the capabilities of this multi-instance classifier for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.MIWrapper
- Returns the capabilities of this multi-instance classifier for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.SimpleMI
- Returns the capabilities of this multi-instance classifier for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.supportVector.MIPolyKernel
- Returns the capabilities of this multi-instance kernel for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.supportVector.MIRBFKernel
- Returns the capabilities of this multi-instance kernel for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.TLD
- Returns the capabilities of this multi-instance classifier for the
relational data.
- getMultiInstanceCapabilities() -
Method in class weka.classifiers.mi.TLDSimple
- Returns the capabilities of this multi-instance classifier for the
relational data.
- getMultiInstanceCapabilities() -
Method in interface weka.core.MultiInstanceCapabilitiesHandler
- Returns the capabilities of this multi-instance classifier for the
relational data (i.e., the bags).
- getMultiInstanceCapabilities() -
Method in class weka.filters.unsupervised.attribute.MultiInstanceToPropositional
- Returns the capabilities of this multi-instance filter for the
relational data (i.e., the bags).
- getMutationProb() -
Method in class weka.attributeSelection.GeneticSearch
- get the probability of mutation
- getNaiveBayesModel() -
Method in class weka.classifiers.trees.j48.NBTreeNoSplit
- Get the naive bayes model at this node
- getName() -
Method in class weka.classifiers.bayes.BayesNet
- get name of the Bayes network
- getName() -
Method in class weka.core.pmml.Function
-
- getName() -
Method in class weka.core.pmml.MiningFieldMetaInfo
- Get the name of this field.
- getName() -
Method in class weka.core.PropertyPath.PathElement
- returns the name of the property
- getName() -
Method in class weka.filters.unsupervised.attribute.AddExpression
- Returns the name of the new attribute
- getName() -
Method in class weka.gui.ensembleLibraryEditor.tree.CheckBoxNode
- gets the name of the parameter value represented by this node
which is stored as the node's user object
- getName() -
Method in class weka.gui.ensembleLibraryEditor.tree.DefaultNode
- gets the name of the parameter value represented by this node
- getName() -
Method in class weka.gui.ensembleLibraryEditor.tree.PropertyNode
- getter for the name to be displayed for this node
- getName() -
Method in class weka.gui.visualize.VisualizePanel
- Returns the name associated with this plot.
- getNameAtIndex(int) -
Method in class weka.gui.ResultHistoryPanel
- Gets the name of theitem in the list at the specified index
- getNamedBuffer(String) -
Method in class weka.gui.ResultHistoryPanel
- Gets the named buffer
- getNamedObject(String) -
Method in class weka.gui.ResultHistoryPanel
- Get the named object from the list
- getNearestNeighbors() -
Method in class weka.filters.supervised.instance.SMOTE
- Gets the number of nearest neighbors to use.
- getNearestNeighbourSearchAlgorithm() -
Method in class weka.classifiers.lazy.IBk
- Returns the current nearestNeighbourSearch algorithm in use.
- getNearestNeighbourSearchAlgorithm() -
Method in class weka.classifiers.lazy.LWL
- Returns the current nearestNeighbourSearch algorithm in use.
- getNegation() -
Method in class weka.associations.Tertius
- Get the value of negation.
- getNegation() -
Method in class weka.associations.tertius.Literal
-
- getNext(int) -
Method in class weka.classifiers.functions.supportVector.SMOset
- Gets the next element in the set.
- getNextDebugVectorsInstance(Instances) -
Method in class weka.clusterers.XMeans
- Read an instance from debug vectors file.
- getNextInstance(Instances) -
Method in class weka.core.converters.AbstractLoader
-
- getNextInstance(Instances) -
Method in class weka.core.converters.ArffLoader
- Read the data set incrementally---get the next instance in the data
set or returns null if there are no
more instances to get.
- getNextInstance(Instances) -
Method in class weka.core.converters.C45Loader
- Read the data set incrementally---get the next instance in the data
set or returns null if there are no
more instances to get.
- getNextInstance(Instances) -
Method in class weka.core.converters.CSVLoader
- CSVLoader is unable to process a data set incrementally.
- getNextInstance(Instances) -
Method in class weka.core.converters.DatabaseLoader
- Read the data set incrementally---get the next instance in the data
set or returns null if there are no
more instances to get.
- getNextInstance(Instances) -
Method in class weka.core.converters.LibSVMLoader
- LibSVmLoader is unable to process a data set incrementally.
- getNextInstance(Instances) -
Method in interface weka.core.converters.Loader
- Read the data set incrementally---get the next instance in the data
set or returns null if there are no
more instances to get.
- getNextInstance(Instances) -
Method in class weka.core.converters.SerializedInstancesLoader
- Read the data set incrementally---get the next instance in the data
set or returns null if there are no
more instances to get.
- getNextInstance(Instances) -
Method in class weka.core.converters.SVMLightLoader
- SVMLightLoader is unable to process a data set incrementally.
- getNextInstance(Instances) -
Method in class weka.core.converters.TextDirectoryLoader
- TextDirectoryLoader is unable to process a data set incrementally.
- getNextInstance(Instances) -
Method in class weka.core.converters.XRFFLoader
- XRFFLoader is unable to process a data set incrementally.
- getNGramMaxSize() -
Method in class weka.core.tokenizers.NGramTokenizer
- Gets the max N of the NGram.
- getNGramMinSize() -
Method in class weka.core.tokenizers.NGramTokenizer
- Gets the min N of the NGram.
- getNoClass() -
Method in class weka.core.TestInstances
- whether no class attribute is generated
- getNode(String) -
Method in class weka.classifiers.bayes.net.BIFReader
- getNode finds the index of the node with name sNodeName
and throws an exception if no such node can be found.
- getNode(String) -
Method in class weka.classifiers.bayes.net.EditableBayesNet
- returns index of node with given name.
- getNode(String) -
Method in class weka.classifiers.bayes.net.MarginCalculator
-
- getNode(String) -
Method in class weka.core.xml.XMLDocument
- Returns the node represented by the XPath expression.
- getNode2(String) -
Method in class weka.classifiers.bayes.net.EditableBayesNet
- returns index of node with given name, or -1 if no such node exists
- getNodeName(int) -
Method in class weka.classifiers.bayes.BayesNet
- get name of a node in the Bayes network
- getNodes() -
Method in class weka.classifiers.trees.ft.FTtree
- Return a list of all inner nodes in the tree
- getNodes(Vector) -
Method in class weka.classifiers.trees.ft.FTtree
- Fills a list with all inner nodes in the tree
- getNodes() -
Method in class weka.classifiers.trees.lmt.LMTNode
- Return a list of all inner nodes in the tree
- getNodes(Vector) -
Method in class weka.classifiers.trees.lmt.LMTNode
- Fills a list with all inner nodes in the tree
- getNodes() -
Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
- give access to set of graph nodes
- getNodes() -
Method in interface weka.gui.graphvisualizer.LayoutEngine
- give access to set of graph nodes
- getNodeSplitter() -
Method in class weka.core.neighboursearch.KDTree
- Returns the splitting method currently in use to split the nodes of the
KDTree.
- getNodeValue(int, int) -
Method in class weka.classifiers.bayes.BayesNet
- get name of a particular value of a node
- getNoise() -
Method in class weka.classifiers.functions.GaussianProcesses
- Get the value of noise.
- getNoisePercent() -
Method in class weka.datagenerators.classifiers.classification.LED24
- Gets the noise percentage.
- getNoiseRate() -
Method in class weka.datagenerators.classifiers.regression.MexicanHat
- Gets the gaussian noise rate.
- getNoiseRate() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Gets the percentage of noise set.
- getNoiseRate() -
Method in class weka.datagenerators.clusterers.SubspaceCluster
- Gets the percentage of noise set.
- getNoiseThreshold() -
Method in class weka.associations.Tertius
- Get the value of noiseThreshold.
- getNoiseVariance() -
Method in class weka.datagenerators.classifiers.regression.MexicanHat
- Gets the noise variance
- getNominalCols() -
Method in class weka.datagenerators.ClusterGenerator
- returns the range of nominal attributes
- getNominalIndices() -
Method in class weka.filters.unsupervised.instance.RemoveWithValues
- Get the set of nominal value indices that will be used for selection
- getNominalLabels() -
Method in class weka.filters.unsupervised.attribute.Add
- Get the list of labels for nominal attribute creation.
- getNominalToBinaryFilter() -
Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getNoPruning() -
Method in class weka.classifiers.trees.REPTree
- Get the value of NoPruning.
- getNoReplacement() -
Method in class weka.filters.supervised.instance.Resample
- Gets whether instances are drawn with or without replacement.
- getNoReplacement() -
Method in class weka.filters.unsupervised.instance.Resample
- Gets whether instances are drawn with or without replacement.
- getNorm() -
Method in class weka.filters.unsupervised.instance.Normalize
- Get the instance's Norm.
- getNormalize() -
Method in class weka.attributeSelection.LatentSemanticAnalysis
- Gets whether or not input data is to be normalized
- getNormalize() -
Method in class weka.attributeSelection.PrincipalComponents
- Gets whether or not input data is to be normalized
- getNormalize() -
Method in class weka.classifiers.functions.LibLINEAR
- whether to normalize input data
- getNormalize() -
Method in class weka.classifiers.functions.LibSVM
- whether to normalize input data
- getNormalize() -
Method in class weka.filters.unsupervised.attribute.PrincipalComponents
- Gets whether or not input data is to be normalized.
- getNormalizeAttributes() -
Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getNormalizeDimWidths() -
Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
- Whether we are normalizing the widths(ranges) of the dimensions (attributes)
or not.
- getNormalizeDocLength() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Gets whether if the word frequencies for a document (instance) should
be normalized or not.
- getNormalizeNodeWidth() -
Method in class weka.core.neighboursearch.KDTree
- Gets the normalize flag.
- getNormalizeNumericClass() -
Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getNormalizeWordWeights() -
Method in class weka.classifiers.bayes.ComplementNaiveBayes
- Returns true if the word weights for each class are to be normalized
- getNot() -
Method in class weka.datagenerators.Test
- Negates the test.
- getNotCapabilities() -
Method in class weka.core.FindWithCapabilities
- The "not to have" capabilities to search for.
- getNotes() -
Method in class weka.experiment.Experiment
- Get the user notes.
- getNotUnifyNorm() -
Method in class weka.clusterers.sIB
- Get whether to normalize instances to unify prior probability
before building the clusterer
- getNPointPrecision(Instances, int) -
Static method in class weka.classifiers.evaluation.ThresholdCurve
- Calculates the n point precision result, which is the precision averaged
over n evenly spaced (w.r.t recall) samples of the curve.
- getNrOfGoodOperations() -
Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
- Gets the number of "good operations"
- getNrOfLookAheadSteps() -
Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
- Gets the number of look-ahead steps
- getNrOfNodes() -
Method in class weka.classifiers.bayes.BayesNet
- get number of nodes in the Bayes network
- getNrOfParents(int) -
Method in class weka.classifiers.bayes.BayesNet
- get number of parents of a node in the network structure
- getNrOfParents() -
Method in class weka.classifiers.bayes.net.ParentSet
- returns number of parents
- getNu() -
Method in class weka.classifiers.functions.LibSVM
- Gets nu of nu-SVC, one-class SVM, and nu-SVR (default 0.5)
- getNumAntds() -
Method in class weka.classifiers.rules.ConjunctiveRule
- Gets the number of antecedants
- getNumArcs() -
Method in class weka.datagenerators.classifiers.classification.BayesNet
- Gets the number of arcs for the bayesian net
- getNumAttemptsOfGeneOption() -
Method in class weka.classifiers.rules.NNge
- Gets the number of attempts for generalisation.
- getNumAttributes() -
Method in class weka.classifiers.lazy.LBR.Indexes
- Returns the number of attributes in the dataset
- getNumAttributes() -
Method in class weka.core.TestInstances
- returns the overall number of attributes (incl.
- getNumAttributes() -
Method in class weka.datagenerators.classifiers.classification.BayesNet
- Gets the number of attributes that should be produced.
- getNumAttributes() -
Method in class weka.datagenerators.classifiers.classification.RandomRBF
- Gets the number of attributes that should be produced.
- getNumAttributes() -
Method in class weka.datagenerators.classifiers.classification.RDG1
- Gets the number of attributes that should be produced.
- getNumAttributes() -
Method in class weka.datagenerators.ClusterGenerator
- Gets the number of attributes that should be produced.
- getNumAttributes() -
Method in class weka.filters.unsupervised.attribute.RandomSubset
- Get the number of attributes (< 1 percentage, >= 1 absolute number).
- getNumAttributesSet() -
Method in class weka.classifiers.lazy.LBR.Indexes
- Returns the number of attributes "in use"
- getNumberFormat() -
Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode
- A helper method to figure out what number format should be used to
display the numbers value in a formatted text box.
- getNumberLiterals() -
Method in class weka.associations.Tertius
- Get the value of numberLiterals.
- getNumberOfAttributes() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.SERObject
- Returns the number of Attributes of the specified database
- getNumberOfAttributes() -
Method in class weka.filters.unsupervised.attribute.RandomProjection
- Gets the current number of attributes (dimensionality) to which the data
will be reduced to.
- getNumberOfGeneratedClusters() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.SERObject
- Returns the number of generated clusters
- getNumberOfGroups() -
Method in class weka.classifiers.meta.RotationForest
- Get whether minGroup and maxGroup refer to the number of groups or their
size
- getNumberOfPartsForInterpolationParameter() -
Method in class weka.classifiers.misc.monotone.OSDLCore
- Gets the granularity for tuning the interpolation parameter.
- getNumBins() -
Method in class weka.classifiers.meta.RegressionByDiscretization
- Gets the number of bins numeric attributes will be divided into
- getNumBoostingIterations() -
Method in class weka.classifiers.functions.SimpleLogistic
- Get the value of numBoostingIterations.
- getNumBoostingIterations() -
Method in class weka.classifiers.trees.FT
- Get the value of numBoostingIterations.
- getNumBoostingIterations() -
Method in class weka.classifiers.trees.LMT
- Get the value of numBoostingIterations.
- getNumCentroids() -
Method in class weka.datagenerators.classifiers.classification.RandomRBF
- Gets the number of centroids.
- getNumCiters() -
Method in class weka.classifiers.mi.CitationKNN
- Returns the number of citers considered to estimate
the class prediction of tests bags
- getNumClasses() -
Method in class weka.core.TestInstances
- returns the current number of classes
- getNumClasses() -
Method in class weka.datagenerators.classifiers.classification.RandomRBF
- Gets the number of classes the dataset should have.
- getNumClasses() -
Method in class weka.datagenerators.classifiers.classification.RDG1
- Gets the number of classes the dataset should have.
- getNumClusters() -
Method in class weka.attributeSelection.UnsupervisedSubsetEvaluator
- Return the number of clusters used by the subset evaluator
- getNumClusters() -
Method in class weka.classifiers.functions.RBFNetwork
- Return the number of clusters to generate.
- getNumClusters() -
Method in class weka.clusterers.ClusterEvaluation
- Return the number of clusters found for the most recent call to
evaluateClusterer
- getNumClusters() -
Method in class weka.clusterers.EM
- Get the number of clusters
- getNumClusters() -
Method in class weka.clusterers.FarthestFirst
- gets the number of clusters to generate
- getNumClusters() -
Method in class weka.clusterers.sIB
- Get the number of clusters
- getNumClusters() -
Method in class weka.clusterers.SimpleKMeans
- gets the number of clusters to generate
- getNumClusters() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Gets the number of clusters the dataset should have.
- getNumComponents() -
Method in class weka.filters.supervised.attribute.PLSFilter
- returns the maximum number of attributes to use.
- getNumCycles() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Gets the number of cycles.
- getNumDatasets() -
Method in class weka.experiment.PairedTTester
- Gets the number of datasets in the resultsets
- getNumDatasets() -
Method in interface weka.experiment.Tester
- Gets the number of datasets in the resultsets
- getNumDate() -
Method in class weka.core.CheckScheme
- returns the current number of date attributes
- getNumDate() -
Method in class weka.core.TestInstances
- returns the current number of date attributes
- getNumeric() -
Method in class weka.filters.unsupervised.attribute.MakeIndicator
- Check if new attribute is to be numeric.
- getNumericColumns() -
Method in class weka.gui.sql.ResultSetHelper
- returns an array that indicates whether a column is numeric or nor.
- getNumEvalsCached() -
Method in class weka.attributeSelection.LFSMethods
-
- getNumEvalsTotal() -
Method in class weka.attributeSelection.LFSMethods
-
- getNumExamples() -
Method in class weka.datagenerators.ClassificationGenerator
- Gets the number of examples, given by option.
- getNumExamples() -
Method in class weka.datagenerators.classifiers.classification.BayesNet
- Gets the number of examples, given by option.
- getNumExamples() -
Method in class weka.datagenerators.RegressionGenerator
- Gets the number of examples, given by option.
- getNumExamplesAct() -
Method in class weka.datagenerators.DataGenerator
- Gets the number of examples the dataset should have.
- getNumFeatures() -
Method in class weka.classifiers.trees.RandomForest
- Get the number of features used in random selection.
- getNumFiles() -
Method in class weka.core.Debug.Log
- returns the number of files being used
- getNumFoldersMIOption() -
Method in class weka.classifiers.rules.NNge
- Gets the number of folder for mutual information.
- getNumFolds() -
Method in class weka.classifiers.bayes.BayesianLogisticRegression
- Return the number of folds for CV-based hyperparameter selection
- getNumFolds() -
Method in class weka.classifiers.functions.SMO
- Get the value of numFolds.
- getNumFolds() -
Method in class weka.classifiers.meta.CVParameterSelection
- Gets the number of folds for the cross-validation.
- getNumFolds() -
Method in class weka.classifiers.meta.Dagging
- Gets the number of folds to use for splitting the training set.
- getNumFolds() -
Method in class weka.classifiers.meta.EnsembleSelection
- Gets the number of folds for the cross-validation.
- getNumFolds() -
Method in class weka.classifiers.meta.LogitBoost
- Get the value of NumFolds.
- getNumFolds() -
Method in class weka.classifiers.meta.MultiScheme
- Gets the number of folds for cross-validation.
- getNumFolds() -
Method in class weka.classifiers.meta.Stacking
- Gets the number of folds for the cross-validation.
- getNumFolds() -
Method in class weka.classifiers.mi.MISMO
- Get the value of numFolds.
- getNumFolds() -
Method in class weka.classifiers.rules.PART
- Get the value of numFolds.
- getNumFolds() -
Method in class weka.classifiers.trees.J48
- Get the value of numFolds.
- getNumFolds() -
Method in class weka.classifiers.trees.REPTree
- Get the value of NumFolds.
- getNumFolds() -
Method in class weka.experiment.CrossValidationResultProducer
- Get the value of NumFolds.
- getNumFolds() -
Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
- Gets the number of folds in which dataset is to be split into.
- getNumFolds() -
Method in class weka.filters.unsupervised.instance.RemoveFolds
- Gets the number of folds in which dataset is to be split into.
- getNumFolds() -
Method in class weka.filters.unsupervised.instance.RemoveMisclassified
- Gets the number of cross-validation folds used by the filter.
- getNumFoldsPruning() -
Method in class weka.classifiers.trees.BFTree
- Set number of folds in internal cross-validation.
- getNumFoldsPruning() -
Method in class weka.classifiers.trees.SimpleCart
- Set number of folds in internal cross-validation.
- getNumGeneratingModels() -
Method in interface weka.gui.boundaryvisualizer.DataGenerator
- Returns the number of generating models used by this DataGenerator
- getNumGeneratingModels() -
Method in class weka.gui.boundaryvisualizer.KDDataGenerator
- Return the number of kernels (there is one per training instance)
- getNumInnerNodes() -
Method in class weka.classifiers.trees.ft.FTtree
- Method to count the number of inner nodes in the tree
- getNumInnerNodes() -
Method in class weka.classifiers.trees.lmt.LMTNode
- Method to count the number of inner nodes in the tree
- getNumInputs() -
Method in class weka.classifiers.functions.neural.NeuralConnection
-
- getNumInstances() -
Method in class weka.classifiers.lazy.LBR.Indexes
- Returns the number of instances in the dataset
- getNumInstances() -
Method in class weka.classifiers.misc.monotone.OSDLCore
- Returns the number of instances in the training set.
- getNumInstances() -
Method in class weka.classifiers.trees.m5.RuleNode
- Return the number of instances that reach this node.
- getNumInstances() -
Method in class weka.core.CheckScheme
- Gets the current number of instances to use for the datasets.
- getNumInstances() -
Method in class weka.core.TestInstances
- returns the current number of instances to produce
- getNumInstances() -
Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
- getNumInstances() -
Method in class weka.estimators.CheckEstimator
- Gets the current number of instances to use for the datasets.
- getNumInstancesRelational() -
Method in class weka.core.CheckScheme
- returns the current number of instances in relational/bag attributes to produce
- getNumInstancesRelational() -
Method in class weka.core.TestInstances
- returns the current number of instances in relational/bag attributes to produce
- getNumInstancesSet() -
Method in class weka.classifiers.lazy.LBR.Indexes
- Returns the number of instances "in use"
- getNumIrrelevant() -
Method in class weka.datagenerators.classifiers.classification.RDG1
- Gets the number of irrelevant attributes.
- getNumIterations() -
Method in class weka.classifiers.bayes.DMNBtext
- Gets the number of iterations to be performed
- getNumIterations() -
Method in class weka.classifiers.functions.VotedPerceptron
- Get the value of NumIterations.
- getNumIterations() -
Method in class weka.classifiers.functions.Winnow
- Get the value of numIterations.
- getNumIterations() -
Method in class weka.classifiers.IteratedSingleClassifierEnhancer
- Gets the number of bagging iterations
- getNumIterations() -
Method in class weka.classifiers.meta.MetaCost
- Gets the number of bagging iterations
- getNumKernels() -
Method in class weka.estimators.KernelEstimator
- Return the number of kernels in this kernel estimator
- getNumLeaves() -
Method in class weka.classifiers.trees.ft.FTtree
- Returns the number of leaves in the tree.
- getNumLeaves() -
Method in class weka.classifiers.trees.lmt.LMTNode
- Returns the number of leaves in the tree.
- getNumLeaves() -
Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
- Returns the number of leaves in the built tree.
- getNumModelBags() -
Method in class weka.classifiers.meta.EnsembleSelection
- Gets numModelBags.
- getNumNeighbours() -
Method in class weka.attributeSelection.ReliefFAttributeEval
- Get the number of nearest neighbours
- getNumNeighbours() -
Method in class weka.classifiers.mi.MINND
- Returns the number of nearest neighbours to estimate
the class prediction of tests bags
- getNumNodes() -
Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
- Returns the number of nodes (internal + leaf)
in the built tree.
- getNumNominal() -
Method in class weka.core.CheckScheme
- returns the current number of nominal attributes
- getNumNominal() -
Method in class weka.core.TestInstances
- returns the current number of nominal attributes
- getNumNominalValues() -
Method in class weka.core.TestInstances
- returns the current number of values for nominal attributes
- getNumNumeric() -
Method in class weka.core.CheckScheme
- returns the current number of numeric attributes
- getNumNumeric() -
Method in class weka.core.TestInstances
- returns the current number of numeric attributes
- getNumNumeric() -
Method in class weka.datagenerators.classifiers.classification.RDG1
- Gets the number of numerical attributes.
- getNumOfBoostingIterations() -
Method in class weka.classifiers.trees.ADTree
- Gets the number of boosting iterations.
- getNumOfBoostingIterations() -
Method in class weka.classifiers.trees.LADTree
- Gets the number of boosting iterations.
- getNumOfBranches() -
Method in class weka.classifiers.trees.adtree.Splitter
- Gets the number of branches of the split.
- getNumOfBranches() -
Method in class weka.classifiers.trees.adtree.TwoWayNominalSplit
- Gets the number of branches of the split.
- getNumOfBranches() -
Method in class weka.classifiers.trees.adtree.TwoWayNumericSplit
- Gets the number of branches of the split.
- getNumOutputs() -
Method in class weka.classifiers.functions.neural.NeuralConnection
-
- getNumQueries() -
Method in class weka.core.neighboursearch.PerformanceStats
- Returns the number of queries.
- getNumReferences() -
Method in class weka.classifiers.mi.CitationKNN
- Returns the number of references considered to estimate
the class prediction of tests bags
- getNumRegressions() -
Method in class weka.classifiers.functions.SimpleLogistic
- Get the number of LogitBoost iterations performed (= the number of
regression functions fit by LogitBoost).
- getNumRegressions() -
Method in class weka.classifiers.trees.lmt.LogisticBase
- The number of LogitBoost iterations performed (= the number of simple
regression functions fit).
- getNumRelational() -
Method in class weka.core.CheckScheme
- returns the current number of relational attributes
- getNumRelational() -
Method in class weka.core.TestInstances
- returns the current number of relational attributes
- getNumRelationalDate() -
Method in class weka.core.TestInstances
- returns the current number of date attributes in a relational attribute
- getNumRelationalNominal() -
Method in class weka.core.TestInstances
- returns the current number of nominal attributes in a relational attribute
- getNumRelationalNominalValues() -
Method in class weka.core.TestInstances
- returns the current number of values for nominal attributes in a relational attribute
- getNumRelationalNumeric() -
Method in class weka.core.TestInstances
- returns the current number of numeric attributes in a relational attribute
- getNumRelationalString() -
Method in class weka.core.TestInstances
- returns the current number of string attributes in a relational attribute
- getNumRestarts() -
Method in class weka.clusterers.sIB
- Get the number of restarts
- getNumResultsets() -
Method in class weka.experiment.PairedTTester
- Gets the number of resultsets in the data.
- getNumResultsets() -
Method in interface weka.experiment.Tester
- Gets the number of resultsets in the data.
- getNumRules() -
Method in class weka.associations.Apriori
- Get the value of numRules.
- getNumRules() -
Method in class weka.associations.PredictiveApriori
- Get the value of the number of required rules.
- getNumRuns() -
Method in class weka.classifiers.meta.LogitBoost
- Get the value of NumRuns.
- getNumRuns() -
Method in class weka.classifiers.mi.TLD
- Returns the number of runs to perform.
- getNumRuns() -
Method in class weka.classifiers.mi.TLDSimple
- Returns the number of runs to perform.
- getNumSamplesPerRegion() -
Method in class weka.gui.boundaryvisualizer.BoundaryPanel
- Get the number of points to sample from a region (fixed dimensions).
- getNumString() -
Method in class weka.core.CheckScheme
- returns the current number of string attributes
- getNumString() -
Method in class weka.core.TestInstances
- returns the current number of string attributes
- getNumSubCmtys() -
Method in class weka.classifiers.meta.MultiBoostAB
- Get the number of sub committees to use
- getNumSubsetSizeCVFolds() -
Method in class weka.attributeSelection.SubsetSizeForwardSelection
- Get the number of cross validation folds for subset size determination
(default = 5).
- getNumSymbols() -
Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
- Gets the number of symbols this estimator operates with
- getNumSymbols() -
Method in class weka.classifiers.misc.monotone.CumulativeDiscreteDistribution
- Get the number of elements over which the cumulative
probability distribution is defined.
- getNumSymbols() -
Method in class weka.classifiers.misc.monotone.DiscreteDistribution
- Get the number of elements over which the
DiscreteDistribution is defined.
- getNumSymbols() -
Method in class weka.estimators.DiscreteEstimator
- Gets the number of symbols this estimator operates with
- getNumTestingNoises() -
Method in class weka.classifiers.mi.MINND
- Returns The number of nearest neighbour instances in the
selection of noises in the test data
- getNumToSelect() -
Method in class weka.attributeSelection.FCBFSearch
- Gets the number of attributes to be retained.
- getNumToSelect() -
Method in class weka.attributeSelection.GreedyStepwise
- Gets the number of attributes to be retained.
- getNumToSelect() -
Method in class weka.attributeSelection.RaceSearch
- Gets the number of attributes to be retained.
- getNumToSelect() -
Method in interface weka.attributeSelection.RankedOutputSearch
- Gets the user specified number of attributes to be retained.
- getNumToSelect() -
Method in class weka.attributeSelection.Ranker
- Gets the number of attributes to be retained.
- getNumTraining() -
Method in class weka.classifiers.lazy.IBk
- Get the number of training instances the classifier is currently using.
- getNumTrainingNoises() -
Method in class weka.classifiers.mi.MINND
- Returns the number of nearest neighbour instances in the
selection of noises in the training data
- getNumTrees() -
Method in class weka.classifiers.trees.RandomForest
- Get the value of numTrees.
- getNumUsedAttributes() -
Method in class weka.attributeSelection.LinearForwardSelection
- Get the number of top-ranked attributes that taken into account by the
search process.
- getNumUsedAttributes() -
Method in class weka.attributeSelection.SubsetSizeForwardSelection
- Get the number of top-ranked attributes that taken into account by the
search process.
- getNumValues() -
Method in class weka.datagenerators.clusterers.SubspaceCluster
- returns array that stores the number of values for a nominal attribute.
- getNumValues() -
Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
- Gets how many values are retained
- getNumXValFolds() -
Method in class weka.classifiers.meta.ThresholdSelector
- Get the number of folds used for cross-validation.
- getObject() -
Method in class weka.clusterers.forOPTICSAndDBScan.Utils.PriorityQueueElement
- Returns the object
- getObject() -
Method in class weka.clusterers.forOPTICSAndDBScan.Utils.UpdateQueueElement
- Returns the object
- getObject() -
Method in class weka.core.CheckGOE
- Get the object used in the tests.
- getObject() -
Method in class weka.core.SerializedObject
- Returns a serialized object.
- getObject() -
Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode
- getter for this node's object
- getObjectKey() -
Method in class weka.clusterers.forOPTICSAndDBScan.Utils.UpdateQueueElement
- Returns the key
- getObservedFrequency() -
Method in class weka.associations.tertius.Rule
- Get the observed frequency of counter-instances of this rule in the dataset.
- getObservedNumber() -
Method in class weka.associations.tertius.Rule
- Get the observed number of counter-instances of this rule in the dataset.
- getOmega() -
Method in class weka.classifiers.functions.supportVector.Puk
- Gets the omega value.
- getOnDemandDirectory() -
Method in class weka.attributeSelection.CostSensitiveASEvaluation
- Returns the directory that will be searched for cost files when
loading on demand.
- getOnDemandDirectory() -
Method in class weka.classifiers.meta.CostSensitiveClassifier
- Returns the directory that will be searched for cost files when
loading on demand.
- getOnDemandDirectory() -
Method in class weka.classifiers.meta.MetaCost
- Returns the directory that will be searched for cost files when
loading on demand.
- getOnDemandDirectory() -
Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
- Returns the directory that will be searched for cost files when
loading on demand.
- getOneElements(Instances) -
Static method in class weka.associations.gsp.Element
- Returns all events of the given data set as Elements containing a single
event.
- getOneValue() -
Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode
- figures out the class of this node's object and returns a new instance of
it initialized with the value of "1".
- getOptimistic() -
Method in class weka.associations.tertius.Rule
- Get the optimistic estimate of the confirmation obtained by refining
this rule.
- getOptimizations() -
Method in class weka.classifiers.rules.JRip
- Gets the the number of optimization runs
- getOption(char, String[]) -
Static method in class weka.core.Utils
- Gets an option indicated by a flag "-Char" from the given array
of strings.
- getOption(String, String[]) -
Static method in class weka.core.Utils
- Gets an option indicated by a flag "-String" from the given array
of strings.
- getOptionHandler() -
Method in class weka.core.CheckOptionHandler
- Get the OptionHandler used in the tests.
- getOptionPos(char, String[]) -
Static method in class weka.core.Utils
- Gets the index of an option or flag indicated by a flag "-Char" from
the given array of strings.
- getOptionPos(String, String[]) -
Static method in class weka.core.Utils
- Gets the index of an option or flag indicated by a flag "-String" from
the given array of strings.
- getOptions() -
Method in class weka.associations.Apriori
- Gets the current settings of the Apriori object.
- getOptions() -
Method in class weka.associations.CheckAssociator
- Gets the current settings of the CheckAssociator.
- getOptions() -
Method in class weka.associations.FilteredAssociator
- Gets the current settings of the Associator.
- getOptions() -
Method in class weka.associations.GeneralizedSequentialPatterns
- Returns an Array containing the current options settings.
- getOptions() -
Method in class weka.associations.HotSpot
- Gets the current settings of HotSpot.
- getOptions() -
Method in class weka.associations.PredictiveApriori
- Gets the current settings of the PredictiveApriori object.
- getOptions() -
Method in class weka.associations.SingleAssociatorEnhancer
- Gets the current settings of the associator.
- getOptions() -
Method in class weka.associations.Tertius
- Gets the current settings of the Tertius object.
- getOptions() -
Method in class weka.attributeSelection.BestFirst
- Gets the current settings of BestFirst.
- getOptions() -
Method in class weka.attributeSelection.CfsSubsetEval
- Gets the current settings of CfsSubsetEval
- getOptions() -
Method in class weka.attributeSelection.CheckAttributeSelection
- Gets the current settings of the CheckAttributeSelection.
- getOptions() -
Method in class weka.attributeSelection.ChiSquaredAttributeEval
- Gets the current settings.
- getOptions() -
Method in class weka.attributeSelection.ClassifierSubsetEval
- Gets the current settings of ClassifierSubsetEval
- getOptions() -
Method in class weka.attributeSelection.CostSensitiveASEvaluation
- Gets the current settings of the subset evaluator.
- getOptions() -
Method in class weka.attributeSelection.ExhaustiveSearch
- Gets the current settings of RandomSearch.
- getOptions() -
Method in class weka.attributeSelection.FCBFSearch
- Gets the current settings of ReliefFAttributeEval.
- getOptions() -
Method in class weka.attributeSelection.FilteredAttributeEval
- Gets the current settings of the subset evaluator.
- getOptions() -
Method in class weka.attributeSelection.FilteredSubsetEval
- Gets the current settings of the subset evaluator.
- getOptions() -
Method in class weka.attributeSelection.GainRatioAttributeEval
- Gets the current settings of WrapperSubsetEval.
- getOptions() -
Method in class weka.attributeSelection.GeneticSearch
- Gets the current settings of ReliefFAttributeEval.
- getOptions() -
Method in class weka.attributeSelection.GreedyStepwise
- Gets the current settings of ReliefFAttributeEval.
- getOptions() -
Method in class weka.attributeSelection.InfoGainAttributeEval
- Gets the current settings of WrapperSubsetEval.
- getOptions() -
Method in class weka.attributeSelection.LatentSemanticAnalysis
- Gets the current settings of LatentSemanticAnalysis
- getOptions() -
Method in class weka.attributeSelection.LinearForwardSelection
- Gets the current settings of LinearForwardSelection.
- getOptions() -
Method in class weka.attributeSelection.OneRAttributeEval
- returns the current setup.
- getOptions() -
Method in class weka.attributeSelection.PrincipalComponents
- Gets the current settings of PrincipalComponents
- getOptions() -
Method in class weka.attributeSelection.RaceSearch
- Gets the current settings of BestFirst.
- getOptions() -
Method in class weka.attributeSelection.RandomSearch
- Gets the current settings of RandomSearch.
- getOptions() -
Method in class weka.attributeSelection.Ranker
- Gets the current settings of ReliefFAttributeEval.
- getOptions() -
Method in class weka.attributeSelection.RankSearch
- Gets the current settings of WrapperSubsetEval.
- getOptions() -
Method in class weka.attributeSelection.ReliefFAttributeEval
- Gets the current settings of ReliefFAttributeEval.
- getOptions() -
Method in class weka.attributeSelection.ScatterSearchV1
- Gets the current settings of ReliefFAttributeEval.
- getOptions() -
Method in class weka.attributeSelection.SubsetSizeForwardSelection
- Gets the current settings of LinearForwardSelection.
- getOptions() -
Method in class weka.attributeSelection.SVMAttributeEval
- Gets the current settings of SVMAttributeEval
- getOptions() -
Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
- Gets the current settings of WrapperSubsetEval.
- getOptions() -
Method in class weka.attributeSelection.SymmetricalUncertAttributeSetEval
- Gets the current settings of WrapperSubsetEval.
- getOptions() -
Method in class weka.attributeSelection.WrapperSubsetEval
- Gets the current settings of WrapperSubsetEval.
- getOptions() -
Method in class weka.classifiers.bayes.AODE
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.bayes.AODEsr
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.bayes.BayesianLogisticRegression
-
- getOptions() -
Method in class weka.classifiers.bayes.BayesNet
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.bayes.ComplementNaiveBayes
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.bayes.DMNBtext
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.bayes.NaiveBayes
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.bayes.net.BayesNetGenerator
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.fixed.FromFile
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.global.HillClimber
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.global.K2
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.global.TabuSearch
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.global.TAN
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.local.HillClimber
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.local.K2
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.local.TabuSearch
- Gets the current settings of the search algorithm.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.local.TAN
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.bayes.WAODE
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.classifiers.BVDecompose
- Gets the current settings of the CheckClassifier.
- getOptions() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Gets the current settings of the CheckClassifier.
- getOptions() -
Method in class weka.classifiers.CheckClassifier
- Gets the current settings of the CheckClassifier.
- getOptions() -
Method in class weka.classifiers.CheckSource
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.Classifier
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.EnsembleLibraryModel
- getter for the classifier options
- getOptions() -
Method in class weka.classifiers.functions.GaussianProcesses
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.functions.LeastMedSq
- Gets the current option settings for the OptionHandler.
- getOptions() -
Method in class weka.classifiers.functions.LibLINEAR
- Returns the current options
- getOptions() -
Method in class weka.classifiers.functions.LibSVM
- Returns the current options
- getOptions() -
Method in class weka.classifiers.functions.LinearRegression
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.functions.Logistic
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.functions.MultilayerPerceptron
- Gets the current settings of NeuralNet.
- getOptions() -
Method in class weka.classifiers.functions.PaceRegression
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.functions.PLSClassifier
- returns the options of the current setup
- getOptions() -
Method in class weka.classifiers.functions.RBFNetwork
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.functions.SimpleLogistic
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.functions.SMO
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.functions.SMOreg
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.functions.supportVector.CachedKernel
- Gets the current settings of the Kernel.
- getOptions() -
Method in class weka.classifiers.functions.supportVector.CheckKernel
- Gets the current settings of the CheckKernel.
- getOptions() -
Method in class weka.classifiers.functions.supportVector.Kernel
- Gets the current settings of the Kernel.
- getOptions() -
Method in class weka.classifiers.functions.supportVector.PolyKernel
- Gets the current settings of the Kernel.
- getOptions() -
Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
- Gets the current settings of the Kernel.
- getOptions() -
Method in class weka.classifiers.functions.supportVector.Puk
- Gets the current settings of the Kernel.
- getOptions() -
Method in class weka.classifiers.functions.supportVector.RBFKernel
- Gets the current settings of the Kernel.
- getOptions() -
Method in class weka.classifiers.functions.supportVector.RegOptimizer
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.functions.supportVector.RegSMO
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.functions.supportVector.RegSMOImproved
- Gets the current settings of the object.
- getOptions() -
Method in class weka.classifiers.functions.supportVector.StringKernel
- Gets the current settings of the Kernel.
- getOptions() -
Method in class weka.classifiers.functions.SVMreg
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.functions.VotedPerceptron
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.functions.Winnow
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.IteratedSingleClassifierEnhancer
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.JythonClassifier
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.lazy.IBk
- Gets the current settings of IBk.
- getOptions() -
Method in class weka.classifiers.lazy.KStar
- Gets the current settings of K*.
- getOptions() -
Method in class weka.classifiers.lazy.LWL
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.meta.AdaBoostM1
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.AdditiveRegression
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.AttributeSelectedClassifier
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.Bagging
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.ClassificationViaClustering
- returns the options of the current setup
- getOptions() -
Method in class weka.classifiers.meta.CostSensitiveClassifier
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.CVParameterSelection
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.Dagging
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.Decorate
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.EnsembleSelection
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.FilteredClassifier
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.GridSearch
- returns the options of the current setup
- getOptions() -
Method in class weka.classifiers.meta.LogitBoost
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.MetaCost
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.MultiBoostAB
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.MultiClassClassifier
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.MultiScheme
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.OrdinalClassClassifier
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.RandomSubSpace
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.RegressionByDiscretization
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.RotationForest
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.Stacking
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.ThresholdSelector
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.meta.Vote
- Gets the current settings of Vote.
- getOptions() -
Method in class weka.classifiers.mi.CitationKNN
- Gets the current option settings for the OptionHandler.
- getOptions() -
Method in class weka.classifiers.mi.MDD
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.mi.MIBoost
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.mi.MIDD
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.mi.MIEMDD
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.mi.MILR
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.mi.MINND
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.mi.MIOptimalBall
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.mi.MISMO
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.mi.MISVM
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.mi.MIWrapper
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.mi.SimpleMI
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.mi.TLD
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.mi.TLDSimple
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.misc.FLR
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.misc.MinMaxExtension
- Gets the current settings of this classifier.
- getOptions() -
Method in class weka.classifiers.misc.monotone.OSDLCore
- Gets the current settings of the OSDLCore classifier.
- getOptions() -
Method in class weka.classifiers.misc.OLM
- Gets an array of string with the current options of the classifier.
- getOptions() -
Method in class weka.classifiers.misc.SerializedClassifier
- returns the options of the current setup
- getOptions() -
Method in class weka.classifiers.misc.VFI
- Gets the current settings of VFI
- getOptions() -
Method in class weka.classifiers.MultipleClassifiersCombiner
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.RandomizableClassifier
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.rules.ConjunctiveRule
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.rules.DecisionTable
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.rules.DTNB
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.rules.JRip
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.rules.NNge
- Gets the current option settings for the OptionHandler.
- getOptions() -
Method in class weka.classifiers.rules.OneR
- Gets the current settings of the OneR classifier.
- getOptions() -
Method in class weka.classifiers.rules.PART
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.rules.Ridor
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.SingleClassifierEnhancer
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.trees.ADTree
- Gets the current settings of ADTree.
- getOptions() -
Method in class weka.classifiers.trees.BFTree
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.trees.FT
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.trees.J48
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.trees.J48graft
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.trees.LADTree
- Gets the current settings of ADTree.
- getOptions() -
Method in class weka.classifiers.trees.LMT
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.classifiers.trees.m5.M5Base
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.trees.M5P
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.classifiers.trees.RandomForest
- Gets the current settings of the forest.
- getOptions() -
Method in class weka.classifiers.trees.RandomTree
- Gets options from this classifier.
- getOptions() -
Method in class weka.classifiers.trees.REPTree
- Gets options from this classifier.
- getOptions() -
Method in class weka.classifiers.trees.SimpleCart
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.clusterers.CheckClusterer
- Gets the current settings of the CheckClusterer.
- getOptions() -
Method in class weka.clusterers.CLOPE
- Gets the current settings of CLOPE
- getOptions() -
Method in class weka.clusterers.Cobweb
- Gets the current settings of Cobweb.
- getOptions() -
Method in class weka.clusterers.DBScan
- Gets the current option settings for the OptionHandler.
- getOptions() -
Method in class weka.clusterers.EM
- Gets the current settings of EM.
- getOptions() -
Method in class weka.clusterers.FarthestFirst
- Gets the current settings of FarthestFirst
- getOptions() -
Method in class weka.clusterers.FilteredClusterer
- Gets the current settings of the clusterer.
- getOptions() -
Method in class weka.clusterers.MakeDensityBasedClusterer
- Gets the current settings of the clusterer.
- getOptions() -
Method in class weka.clusterers.OPTICS
- Gets the current option settings for the OptionHandler.
- getOptions() -
Method in class weka.clusterers.RandomizableClusterer
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.clusterers.RandomizableDensityBasedClusterer
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.clusterers.RandomizableSingleClustererEnhancer
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.clusterers.sIB
- Gets the current settings.
- getOptions() -
Method in class weka.clusterers.SimpleKMeans
- Gets the current settings of SimpleKMeans
- getOptions() -
Method in class weka.clusterers.SingleClustererEnhancer
- Gets the current settings of the clusterer.
- getOptions() -
Method in class weka.clusterers.XMeans
- Gets the current settings of SimpleKMeans.
- getOptions() -
Method in class weka.core.Check
- Gets the current settings of the CheckClassifier.
- getOptions() -
Method in class weka.core.CheckGOE
- Gets the current settings of the object.
- getOptions() -
Method in class weka.core.CheckOptionHandler
- Gets the current settings of the CheckClassifier.
- getOptions() -
Method in class weka.core.CheckScheme
- Gets the current settings of the CheckClassifier.
- getOptions() -
Method in class weka.core.converters.AbstractFileSaver
- Gets the current settings of the Saver object.
- getOptions() -
Method in class weka.core.converters.C45Saver
- Gets the current settings of the C45Saver object.
- getOptions() -
Method in class weka.core.converters.DatabaseLoader
- Gets the setting
- getOptions() -
Method in class weka.core.converters.DatabaseSaver
- Gets the setting
- getOptions() -
Method in class weka.core.converters.LibSVMSaver
- returns the options of the current setup
- getOptions() -
Method in class weka.core.converters.SVMLightSaver
- returns the options of the current setup.
- getOptions() -
Method in class weka.core.converters.TextDirectoryLoader
- Gets the setting
- getOptions() -
Method in class weka.core.converters.XRFFSaver
- returns the options of the current setup
- getOptions() -
Method in class weka.core.FindWithCapabilities
- Gets the current settings of this object.
- getOptions() -
Method in class weka.core.Javadoc
- Gets the current settings of this object.
- getOptions() -
Method in class weka.core.ListOptions
- Gets the current settings of this object.
- getOptions() -
Method in class weka.core.neighboursearch.BallTree
- Gets the current settings of KDtree.
- getOptions() -
Method in class weka.core.neighboursearch.balltrees.BallSplitter
- Gets the current settings of the object.
- getOptions() -
Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
- Gets the current settings.
- getOptions() -
Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
- Gets the current settings of the object.
- getOptions() -
Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
- Gets the current settings.
- getOptions() -
Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
- Gets the current settings of this BallTree MiddleOutConstructor.
- getOptions() -
Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
- Gets the current settings of KDtree.
- getOptions() -
Method in class weka.core.neighboursearch.CoverTree
- Gets the current settings of KDtree.
- getOptions() -
Method in class weka.core.neighboursearch.KDTree
- Gets the current settings of KDtree.
- getOptions() -
Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
- Gets the current settings of the object.
- getOptions() -
Method in class weka.core.neighboursearch.LinearNNSearch
- Gets the current settings.
- getOptions() -
Method in class weka.core.neighboursearch.NearestNeighbourSearch
- Gets the current settings.
- getOptions() -
Method in class weka.core.NormalizableDistance
- Gets the current settings.
- getOptions() -
Method in interface weka.core.OptionHandler
- Gets the current option settings for the OptionHandler.
- getOptions() -
Method in class weka.core.OptionHandlerJavadoc
- Gets the current settings of this object.
- getOptions() -
Method in class weka.core.stemmers.SnowballStemmer
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.core.TechnicalInformationHandlerJavadoc
- Gets the current settings of this object.
- getOptions() -
Method in class weka.core.TestInstances
- Gets the current settings of this object.
- getOptions() -
Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
- Gets the current option settings for the OptionHandler.
- getOptions() -
Method in class weka.core.tokenizers.NGramTokenizer
- Gets the current option settings for the OptionHandler.
- getOptions() -
Method in class weka.core.tokenizers.Tokenizer
- Gets the current option settings for the OptionHandler.
- getOptions() -
Method in class weka.datagenerators.ClassificationGenerator
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.datagenerators.classifiers.classification.Agrawal
- Gets the current settings of the datagenerator.
- getOptions() -
Method in class weka.datagenerators.classifiers.classification.BayesNet
- Gets the current settings of the datagenerator.
- getOptions() -
Method in class weka.datagenerators.classifiers.classification.LED24
- Gets the current settings of the datagenerator.
- getOptions() -
Method in class weka.datagenerators.classifiers.classification.RandomRBF
- Gets the current settings of the datagenerator.
- getOptions() -
Method in class weka.datagenerators.classifiers.classification.RDG1
- Gets the current settings of the datagenerator RDG1.
- getOptions() -
Method in class weka.datagenerators.classifiers.regression.Expression
- Gets the current settings of the datagenerator BIRCHCluster.
- getOptions() -
Method in class weka.datagenerators.classifiers.regression.MexicanHat
- Gets the current settings of the datagenerator BIRCHCluster.
- getOptions() -
Method in class weka.datagenerators.ClusterDefinition
- Gets the current settings of the datagenerator BIRCHCluster.
- getOptions() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Gets the current settings of the datagenerator BIRCHCluster.
- getOptions() -
Method in class weka.datagenerators.clusterers.SubspaceCluster
- Gets the current settings of the datagenerator.
- getOptions() -
Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
- Gets the current settings of the datagenerator BIRCHCluster.
- getOptions() -
Method in class weka.datagenerators.ClusterGenerator
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.datagenerators.DataGenerator
- Gets the current settings of the datagenerator RDG1.
- getOptions() -
Method in class weka.datagenerators.RegressionGenerator
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.estimators.CheckEstimator
- Gets the current settings of the CheckEstimator.
- getOptions() -
Method in class weka.estimators.Estimator
- Gets the current settings of the Estimator.
- getOptions() -
Method in class weka.experiment.AveragingResultProducer
- Gets the current settings of the result producer.
- getOptions() -
Method in class weka.experiment.ClassifierSplitEvaluator
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.experiment.CrossValidationResultProducer
- Gets the current settings of the result producer.
- getOptions() -
Method in class weka.experiment.CSVResultListener
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.experiment.DatabaseResultProducer
- Gets the current settings of the result producer.
- getOptions() -
Method in class weka.experiment.DensityBasedClustererSplitEvaluator
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.experiment.Experiment
- Gets the current settings of the experiment iterator.
- getOptions() -
Method in class weka.experiment.InstanceQuery
- Gets the current settings of InstanceQuery
- getOptions() -
Method in class weka.experiment.LearningRateResultProducer
- Gets the current settings of the result producer.
- getOptions() -
Method in class weka.experiment.PairedTTester
- Gets current settings of the PairedTTester.
- getOptions() -
Method in class weka.experiment.RandomSplitResultProducer
- Gets the current settings of the result producer.
- getOptions() -
Method in class weka.experiment.RegressionSplitEvaluator
- Gets the current settings of the Classifier.
- getOptions() -
Method in class weka.filters.CheckSource
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.MultiFilter
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.SimpleFilter
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.supervised.attribute.AddClassification
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.filters.supervised.attribute.AttributeSelection
- Gets the current settings for the attribute selection (search, evaluator)
etc.
- getOptions() -
Method in class weka.filters.supervised.attribute.ClassOrder
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.supervised.attribute.Discretize
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.supervised.attribute.NominalToBinary
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.supervised.attribute.PLSFilter
- returns the options of the current setup
- getOptions() -
Method in class weka.filters.supervised.instance.Resample
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.supervised.instance.SMOTE
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.supervised.instance.SpreadSubsample
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.Add
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.AddCluster
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.AddExpression
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.AddID
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.AddNoise
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.AddValues
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.ClassAssigner
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.ClusterMembership
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.Copy
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.Discretize
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.FirstOrder
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.InterquartileRange
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.KernelFilter
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.MakeIndicator
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.MathExpression
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.MergeTwoValues
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.MultiInstanceToPropositional
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.NominalToBinary
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.NominalToString
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.Normalize
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.NumericCleaner
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.NumericToNominal
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.NumericTransform
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.PKIDiscretize
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.PrincipalComponents
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.PropositionalToMultiInstance
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.RandomProjection
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.RandomSubset
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.RELAGGS
- Gets the current settings of the classifier.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.Remove
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.RemoveType
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.RemoveUseless
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.Reorder
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.StringToNominal
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.SwapValues
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.attribute.Wavelet
- returns the options of the current setup
- getOptions() -
Method in class weka.filters.unsupervised.instance.Normalize
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.instance.Randomize
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.instance.RemoveFolds
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.instance.RemoveMisclassified
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.instance.RemovePercentage
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.instance.RemoveRange
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.instance.RemoveWithValues
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.instance.Resample
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.instance.ReservoirSample
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.filters.unsupervised.instance.SubsetByExpression
- Gets the current settings of the filter.
- getOptions() -
Method in class weka.gui.Main
- returns the options of the current setup.
- getOptionsWereValid() -
Method in class weka.classifiers.EnsembleLibraryModel
- getter for the optionsWereValid member variable
- getOptype() -
Method in class weka.core.pmml.Expression
- Get the optype of the result of applying this Expression.
- getOptype() -
Method in class weka.core.pmml.FieldMetaInfo
- Get the optype.
- getOrder() -
Method in enum weka.core.logging.Logger.Level
- Returns the order of this level.
- getOrderedFlag() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Gets the ordered flag (option O).
- getOriginalCoords() -
Method in class weka.gui.beans.MetaBean
- returns the vector containing the original coordinates (instances of class
Point) for the inputs
- getOtherCapabilities() -
Method in class weka.core.Capabilities
- returns all other capabilities, besides class and attribute related ones
- getOtherLeaf() -
Method in class weka.classifiers.trees.j48.GraftSplit
-
- getOutlierFactor() -
Method in class weka.filters.unsupervised.attribute.InterquartileRange
- Gets the factor for determining the thresholds for outliers.
- getOutlierTreatmentMethod() -
Method in class weka.core.pmml.MiningFieldMetaInfo
- Get the outlier treatment method used for this field.
- getOutput() -
Method in class weka.datagenerators.DataGenerator
- Gets the print writer.
- getOutput() -
Method in class weka.gui.explorer.DataGeneratorPanel
- returns the generated output as text
- getOutputCenterFile() -
Method in class weka.clusterers.XMeans
- Gets the file to write the list of centers to.
- getOutputClassification() -
Method in class weka.filters.supervised.attribute.AddClassification
- Get whether the classifiction of the classifier is output.
- getOutputDef() -
Method in class weka.core.pmml.BuiltInArithmetic
- Get the structure of the result produced by this function.
- getOutputDef() -
Method in class weka.core.pmml.BuiltInMath
- Get the structure of the result produced by this function.
- getOutputDef() -
Method in class weka.core.pmml.BuiltInString
- Get the structure of the result produced by this function.
- getOutputDef() -
Method in class weka.core.pmml.DefineFunction
- Get the structure of the result produced by this function.
- getOutputDef() -
Method in class weka.core.pmml.FieldRef
- Return the structure of the result of applying this Expression
as an Attribute.
- getOutputDef() -
Method in class weka.core.pmml.Function
- Get the structure of the result produced by this function.
- getOutputDistribution() -
Method in class weka.filters.supervised.attribute.AddClassification
- Get whether the classifiction of the classifier is output.
- getOutputErrorFlag() -
Method in class weka.filters.supervised.attribute.AddClassification
- Get whether the classifiction of the classifier is output.
- getOutputFile() -
Method in class weka.experiment.CrossValidationResultProducer
- Get the value of OutputFile.
- getOutputFile() -
Method in class weka.experiment.CSVResultListener
- Get the value of OutputFile.
- getOutputFile() -
Method in class weka.experiment.RandomSplitResultProducer
- Get the value of OutputFile.
- getOutputFilename() -
Method in class weka.core.converters.TextDirectoryLoader
- Gets whether the filename will be stored as an extra attribute.
- getOutputFilename() -
Method in class weka.gui.GenericPropertiesCreator
- returns the name of the output file
- getOutputFormat() -
Method in class weka.core.Debug.Clock
- returns the output format
- getOutputFormat() -
Method in class weka.filters.Filter
- Gets the format of the output instances.
- getOutputFormat() -
Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
- Gets the format of the output instances.
- getOutputFormat() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns the classname of the ResultMatrix class, responsible for the
output format
- getOutputItemSets() -
Method in class weka.associations.Apriori
- Gets whether itemsets are output as well
- getOutputNums() -
Method in class weka.classifiers.functions.neural.NeuralConnection
- Use this to get easy access to the output numbers.
- getOutputOffsetMultiplier() -
Method in class weka.filters.unsupervised.attribute.InterquartileRange
- Gets whether an additional attribute "Offset" is generated per
Outlier/ExtremeValue attribute pair that lists the multiplier the value
is off the median: value = median + 'multiplier' * IQR.
- getOutputPerClassInfoRetrievalStats() -
Method in class weka.gui.beans.IncrementalClassifierEvaluator
- Get whether per-class information retrieval stats are to be output.
- getOutputProperties() -
Method in class weka.gui.GenericPropertiesCreator
- returns the output properties object (structure like the template, but
filled with classes instead of packages)
- getOutputs() -
Method in class weka.classifiers.functions.neural.NeuralConnection
- Use this to get easy access to the outputs.
- getOutputs() -
Method in class weka.gui.beans.MetaBean
-
- getOutputTypes() -
Method in class weka.core.Debug.DBO
- Gets the current output type selection
- getOutputWordCounts() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Gets whether output instances contain 0 or 1 indicating word
presence, or word counts.
- getOverwriteWarning() -
Method in class weka.gui.ConverterFileChooser
- Returns whether a popup appears with a warning that the file already
exists (only save dialog).
- getOwner() -
Method in class weka.core.Capabilities
- returns the owner of this capabilities object
- getOwner() -
Static method in class weka.core.Copyright
- returns the entity owning the copyright
- getP() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Get the proportion of instances that are common between two training sets.
- getPackage(String) -
Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
- returns the packages part of the partial classname.
- getPackageName() -
Static method in class weka.gui.ensembleLibraryEditor.DefaultModelsPanel
- this bit of code grabs all of the .model.xml files located in
the ensemble selection package directory.
- getPadding() -
Method in class weka.filters.unsupervised.attribute.Wavelet
- Gets the type of Padding to use
- getPaint() -
Method in class weka.gui.visualize.PostscriptGraphics
-
- getPanel(int) -
Method in class weka.gui.arffviewer.ArffViewerMainPanel
- returns the specified panel,
null if index is out of bounds
- getPanelCount() -
Method in class weka.gui.arffviewer.ArffViewerMainPanel
- returns the number of panels currently open
- getPanels() -
Method in class weka.gui.explorer.Explorer
- returns all the panels, apart from the PreprocessPanel
- getParameterNames() -
Method in class weka.core.pmml.BuiltInArithmetic
- Returns an array of the names of the parameters expected
as input by this function
- getParameterNames() -
Method in class weka.core.pmml.BuiltInMath
- Returns an array of the names of the parameters expected
as input by this function.
- getParameterNames() -
Method in class weka.core.pmml.BuiltInString
- Returns an array of the names of the parameters expected
as input by this function.
- getParameterNames() -
Method in class weka.core.pmml.DefineFunction
- Returns an array of the names of the parameters expected
as input by this function.
- getParameterNames() -
Method in class weka.core.pmml.Function
- Returns an array of the names of the parameters expected
as input by this function.
- getParent(int, int) -
Method in class weka.classifiers.bayes.BayesNet
- get node index of a parent of a node in the network structure
- getParent(int) -
Method in class weka.classifiers.bayes.net.ParentSet
- returns index parent of parent specified by index
- getParent() -
Method in class weka.datagenerators.ClusterDefinition
- returns the parent datagenerator this cluster belongs to
- getParent(int) -
Method in class weka.gui.treevisualizer.Node
- Get the parent edge.
- getParentCardinality(int) -
Method in class weka.classifiers.bayes.BayesNet
- get number of values the collection of parents of a node can take
- getParentDialog(Container) -
Static method in class weka.gui.PropertyDialog
- Tries to determine the dialog this panel is part of.
- getParentFrame() -
Method in class weka.gui.arffviewer.ArffViewerMainPanel
- returns the parent frame, if it's a JFrame, otherwise null
- getParentFrame() -
Method in class weka.gui.GUIChooser.ChildFrameSDI
- returns the parent frame, can be null.
- getParentFrame() -
Method in class weka.gui.Main.ChildFrameMDI
- returns the parent frame, can be null.
- getParentFrame() -
Method in class weka.gui.Main.ChildFrameSDI
- returns the parent frame, can be null.
- getParentFrame(Container) -
Static method in class weka.gui.PropertyDialog
- Tries to determine the frame this panel is part of.
- getParentFrame() -
Method in class weka.gui.SetInstancesPanel
- Returns the current frame the panel knows of, that it resides in.
- getParentInternalFrame() -
Method in class weka.gui.arffviewer.ArffViewerMainPanel
- returns the parent frame, if it's a JInternalFrame, otherwise null
- getParentPanel() -
Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode
- getter for the parent panel
- getParents() -
Method in class weka.classifiers.bayes.net.ParentSet
-
- getParentSet(int) -
Method in class weka.classifiers.bayes.BayesNet
- get the parent set of a node
- getParentSets() -
Method in class weka.classifiers.bayes.BayesNet
- Get full set of parent sets.
- getParts() -
Method in class weka.associations.tertius.IndividualInstance
-
- getPassword() -
Method in class weka.core.converters.DatabaseLoader
- Returns the database password
- getPassword() -
Method in class weka.core.converters.DatabaseSaver
- Returns the database password
- getPassword() -
Method in class weka.experiment.DatabaseUtils
- Get the database password.
- getPassword() -
Method in class weka.gui.DatabaseConnectionDialog
- Returns password from dialog
- getPassword() -
Method in class weka.gui.sql.ConnectionPanel
- returns the current Password.
- getPassword() -
Method in class weka.gui.sql.event.ResultChangedEvent
- returns the password that produced the table model
- getPassword() -
Method in class weka.gui.sql.ResultSetTable
- returns the password that produced the table model
- getPassword() -
Method in class weka.gui.sql.SqlViewer
- returns the password from the currently active tab in the ResultPanel,
otherwise an empty string.
- getPassword() -
Method in class weka.gui.sql.SqlViewerDialog
- returns the chosen password, if any
- getPath() -
Method in class weka.gui.PropertySelectorDialog
- Gets the path of property nodes to the selected property.
- getPattern() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Gets the pattern type.
- getPenalty() -
Method in class weka.classifiers.bayes.blr.Prior
-
- getPercent() -
Method in class weka.filters.unsupervised.attribute.AddNoise
- Gets the size of noise data as a percentage of the original set.
- getPercent() -
Method in class weka.filters.unsupervised.attribute.RandomProjection
- Gets the percent the attributes (dimensions) of the data will be reduced to
- getPercentage() -
Method in class weka.filters.supervised.instance.SMOTE
- Gets the percentage of SMOTE instances to create.
- getPercentage() -
Method in class weka.filters.unsupervised.instance.RemovePercentage
- Gets the percentage of instances to select.
- getPercentCompleted() -
Method in class weka.gui.boundaryvisualizer.RemoteResult
- Return the progress for this row
- getPercentThreshold() -
Method in class weka.attributeSelection.SVMAttributeEval
- Get the threshold below which percentage elimination reverts to
constant elimination.
- getPercentToEliminatePerIteration() -
Method in class weka.attributeSelection.SVMAttributeEval
- Get the percentage rate of attribute elimination per iteration
- getPerformanceStats() -
Method in class weka.core.neighboursearch.NearestNeighbourSearch
- Gets the class object that contains the performance statistics of
the search method.
- getPerformPrediction() -
Method in class weka.filters.supervised.attribute.PLSFilter
- Gets whether the class attribute is updated with the predicted value.
- getPerformRanking() -
Method in class weka.attributeSelection.LinearForwardSelection
- Get boolean if initial ranking should be performed to select the
top-ranked attributes
- getPerformRanking() -
Method in class weka.attributeSelection.SubsetSizeForwardSelection
- Get boolean if initial ranking should be performed to select the
top-ranked attributes
- getPeriodicPruning() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Gets the rate at which the dictionary is periodically pruned, as a
percentage of the dataset size.
- getPerturbationFraction() -
Method in class weka.datagenerators.classifiers.classification.Agrawal
- Gets the perturbation fraction.
- getPivot() -
Method in class weka.core.matrix.LUDecomposition
- Return pivot permutation vector
- getPivot() -
Method in class weka.core.neighboursearch.balltrees.BallNode
- Returns the pivot/centre of the
node's ball.
- getPlainColumnName(int) -
Method in class weka.gui.arffviewer.ArffTable
- returns the basically the attribute name of the column and not the
HTML column name via getColumnName(int)
- getPlotInstances() -
Method in class weka.gui.visualize.PlotData2D
- Returns the instances for this plot
- getPlotName() -
Method in class weka.gui.visualize.PlotData2D
- Get the name of this plot
- getPlotNameHTML() -
Method in class weka.gui.visualize.PlotData2D
- Get the name of the plot for use in a tool tip text.
- getPlotPanel() -
Method in class weka.gui.visualize.VisualizePanel
- Returns the underlying plot panel.
- getPlots() -
Method in class weka.gui.visualize.Plot2D
- Return the list of plots
- getPlotTrainingData() -
Method in class weka.gui.boundaryvisualizer.BoundaryPanel
- Returns true if training data is to be superimposed
- getPMMLModel(String) -
Static method in class weka.core.pmml.PMMLFactory
- Read and return a PMML model.
- getPMMLModel(File) -
Static method in class weka.core.pmml.PMMLFactory
- Read and return a PMML model.
- getPMMLModel(InputStream) -
Static method in class weka.core.pmml.PMMLFactory
- Read and return a PMML model.
- getPMMLModel(String, Logger) -
Static method in class weka.core.pmml.PMMLFactory
- Read and return a PMML model.
- getPMMLModel(File, Logger) -
Static method in class weka.core.pmml.PMMLFactory
- Read and return a PMML model.
- getPMMLModel(InputStream, Logger) -
Static method in class weka.core.pmml.PMMLFactory
- Read and return a PMML model.
- getPMMLVersion() -
Method in class weka.classifiers.pmml.consumer.PMMLClassifier
- Get the PMML version used for this model.
- getPMMLVersion() -
Method in interface weka.core.pmml.PMMLModel
- Get the version of PMML used to encode this model.
- getPointValue(int) -
Method in class weka.classifiers.functions.pace.DiscreteFunction
- Gets a particular point value
- getPopulationSize() -
Method in class weka.attributeSelection.GeneticSearch
- get the size of the population
- getPopulationSize() -
Method in class weka.attributeSelection.ScatterSearchV1
- Get the population size
- getPopulationSize() -
Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- getPopulationSize() -
Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- getPopup() -
Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
- returns the currently set JPopupMenu.
- getPositionX(int) -
Method in class weka.classifiers.bayes.net.EditableBayesNet
- get x position of a node
- getPositionY(int) -
Method in class weka.classifiers.bayes.net.EditableBayesNet
- get y position of a node
- getPostFixExpression() -
Method in class weka.core.AttributeExpression
- Return the postfix expression
- getPostProcessor() -
Method in class weka.core.CheckScheme
- returns the current PostProcessor, can be null
- getPostProcessor() -
Method in class weka.estimators.CheckEstimator
- returns the current PostProcessor, can be null
- getPrecision() -
Method in class weka.classifiers.evaluation.TwoClassStats
- Calculate the precision.
- getPrecision() -
Method in class weka.estimators.KernelEstimator
- Return the precision of this kernel estimator.
- getPrecision() -
Method in class weka.estimators.NormalEstimator
- Return the value of the precision of this normal estimator.
- getPredicate() -
Method in class weka.associations.tertius.Literal
-
- getPrediction(Classifier, Instance) -
Method in class weka.classifiers.evaluation.EvaluationUtils
- Generate a single prediction for a test instance given the pre-trained
classifier.
- getPredTargetColumn() -
Method in class weka.experiment.ClassifierSplitEvaluator
-
- getPrefix() -
Method in class weka.gui.beans.SerializedModelSaver
- Get the prefix to prepend to the model file names.
- getPreprocessing() -
Method in class weka.filters.supervised.attribute.PLSFilter
- Gets the type of preprocessing to use
- getPreprocessing() -
Method in class weka.filters.unsupervised.attribute.KernelFilter
- Gets the filter used for preprocessing
- getPreprocessPanel() -
Method in class weka.gui.explorer.Explorer
- returns the instance of the PreprocessPanel being used in this instance
of the Explorer
- getPreserveInstancesOrder() -
Method in class weka.clusterers.SimpleKMeans
- Gets whether order of instances must be preserved
- getPrintColNames() -
Method in class weka.experiment.ResultMatrix
- returns whether column names or numbers instead are printed
- getPrintRowNames() -
Method in class weka.experiment.ResultMatrix
- returns whether row names or numbers instead are printed
- getPriorClass() -
Method in class weka.classifiers.bayes.BayesianLogisticRegression
- Get the type of prior to use.
- getPriority(int) -
Method in class weka.clusterers.forOPTICSAndDBScan.Utils.PriorityQueue
- Returns the priority for the object at the specified index
- getPriority() -
Method in class weka.clusterers.forOPTICSAndDBScan.Utils.PriorityQueueElement
- Returns the priority for this object
- getPriority(int) -
Method in class weka.clusterers.forOPTICSAndDBScan.Utils.UpdateQueue
- Returns the priority for the object at the specified index
- getPriority() -
Method in class weka.clusterers.forOPTICSAndDBScan.Utils.UpdateQueueElement
- Returns the priority for this object
- getPriorProbability(String) -
Method in class weka.core.pmml.TargetMetaInfo
- Get the prior probability for the supplied value.
- getProbabilities() -
Method in class weka.gui.boundaryvisualizer.RemoteResult
- Return the probability distributions for this row in the visualization
- getProbability(int, int, int) -
Method in class weka.classifiers.bayes.BayesNet
- get particular probability of the conditional probability distribtion
of a node given its parents.
- getProbability(double) -
Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
- Get a probability estimate for a value
- getProbability(int) -
Method in class weka.classifiers.misc.monotone.DiscreteDistribution
- Get the probability of finding the element at
a specified index.
- getProbability(double, double) -
Method in interface weka.estimators.ConditionalEstimator
- Get a probability for a value conditional on another value
- getProbability(double, double) -
Method in class weka.estimators.DDConditionalEstimator
- Get a probability estimate for a value
- getProbability(double) -
Method in class weka.estimators.DiscreteEstimator
- Get a probability estimate for a value
- getProbability(double, double) -
Method in class weka.estimators.DKConditionalEstimator
- Get a probability estimate for a value
- getProbability(double, double) -
Method in class weka.estimators.DNConditionalEstimator
- Get a probability estimate for a value
- getProbability(double) -
Method in class weka.estimators.Estimator
- Get a probability estimate for a value.
- getProbability(double, double) -
Method in class weka.estimators.KDConditionalEstimator
- Get a probability estimate for a value
- getProbability(double) -
Method in class weka.estimators.KernelEstimator
- Get a probability estimate for a value.
- getProbability(double, double) -
Method in class weka.estimators.KKConditionalEstimator
- Get a probability estimate for a value
- getProbability(double) -
Method in class weka.estimators.MahalanobisEstimator
- Get a probability estimate for a value
- getProbability(double, double) -
Method in class weka.estimators.NDConditionalEstimator
- Get a probability estimate for a value
- getProbability(double, double) -
Method in class weka.estimators.NNConditionalEstimator
- Get a probability estimate for a value
- getProbability(double) -
Method in class weka.estimators.NormalEstimator
- Get a probability estimate for a value
- getProbability(double) -
Method in class weka.estimators.PoissonEstimator
- Get a probability estimate for a value
- getProbabilityEstimates() -
Method in class weka.classifiers.functions.LibLINEAR
- Sets whether to generate probability estimates instead of -1/+1 for
classification problems.
- getProbabilityEstimates() -
Method in class weka.classifiers.functions.LibSVM
- Sets whether to generate probability estimates instead of -1/+1 for
classification problems.
- getProgressBar() -
Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
- Returns a handle to the progressBar
of this LayoutEngine.
- getProgressBar() -
Method in interface weka.gui.graphvisualizer.LayoutEngine
- This method returns the progress bar
for the LayoutEngine, which shows
the progress of the layout process,
if it takes a while to layout the
graph
- getProjectionFilter() -
Method in class weka.classifiers.meta.RotationForest
- Gets the filter used to project the data.
- getProlog() -
Method in class weka.core.OptionHandlerJavadoc
- whether "Valid options are..." prolog is included in the Javadoc
- getProlog() -
Method in class weka.core.TechnicalInformationHandlerJavadoc
- whether "Valid options are..." prolog is included in the Javadoc
- getProperties() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns the associated properties file
- getProperties() -
Static method in class weka.gui.explorer.ExplorerDefaults
- returns the associated properties file
- getProperty() -
Method in class weka.core.pmml.FieldMetaInfo.Value
-
- getPropertyArray() -
Method in class weka.experiment.Experiment
- Gets the array of values to set the custom property to.
- getPropertyArrayLength() -
Method in class weka.experiment.Experiment
- Gets the number of custom iterator values that have been defined
for the experiment.
- getPropertyArrayValue(int) -
Method in class weka.experiment.Experiment
- Gets a specified value from the custom property iterator array.
- getPropertyDescriptor(Object, PropertyPath.Path) -
Static method in class weka.core.PropertyPath
- returns the property associated with the given path, null if a problem
occurred.
- getPropertyDescriptor(Object, String) -
Static method in class weka.core.PropertyPath
- returns the property associated with the given path
- getPropertyDescriptors() -
Method in class weka.gui.beans.ClassAssignerBeanInfo
- Returns the property descriptors
- getPropertyDescriptors() -
Method in class weka.gui.beans.ClassValuePickerBeanInfo
- Returns the property descriptors
- getPropertyDescriptors() -
Method in class weka.gui.beans.CrossValidationFoldMakerBeanInfo
- Return the property descriptors for this bean
- getPropertyDescriptors() -
Method in class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo
- Return the property descriptors for this bean
- getPropertyDescriptors() -
Method in class weka.gui.beans.PredictionAppenderBeanInfo
- Return the property descriptors for this bean
- getPropertyDescriptors() -
Method in class weka.gui.beans.StripChartBeanInfo
- Get the property descriptors for this bean
- getPropertyDescriptors() -
Method in class weka.gui.beans.TrainTestSplitMakerBeanInfo
- Get the property descriptors for this bean
- getPropertyEditor() -
Method in class weka.gui.ensembleLibraryEditor.tree.PropertyNode
- this returns the property editor that was provided for this object.
- getPropertyPath() -
Method in class weka.experiment.Experiment
- Gets the path of properties taken to get to the custom property
to iterate over.
- getPruningMethod() -
Method in class weka.classifiers.functions.supportVector.StringKernel
- Gets the method used for pruning.
- getPruningStrategy() -
Method in class weka.classifiers.trees.BFTree
- Gets the pruning strategy.
- getPruningType() -
Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
- Get the pruning type
- getQ() -
Method in class weka.core.matrix.QRDecomposition
- Generate and return the (economy-sized) orthogonal factor
- getQuality() -
Method in class weka.gui.visualize.JPEGWriter
- returns the quality the JPEG will be stored in.
- getQuery() -
Method in class weka.core.converters.DatabaseLoader
- Gets the query to execute against the database
- getQuery() -
Method in class weka.experiment.InstanceQuery
- Get the query to execute against the database
- getQuery() -
Method in class weka.gui.sql.event.QueryExecuteEvent
- returns the query that was executed
- getQuery() -
Method in class weka.gui.sql.event.ResultChangedEvent
- returns the query that was executed
- getQuery() -
Method in class weka.gui.sql.QueryPanel
- returns the currently displayed query.
- getQuery() -
Method in class weka.gui.sql.ResultSetTable
- returns the query that produced the table model
- getQuery() -
Method in class weka.gui.sql.SqlViewer
- returns the query from the currently active tab in the ResultPanel,
otherwise an empty string.
- getQuery() -
Method in class weka.gui.sql.SqlViewerDialog
- returns the chosen query, if any
- getQueryPanel() -
Method in class weka.gui.sql.ResultPanel
- returns the currently set QueryPanel, can be NULL
- getR() -
Method in class weka.core.matrix.QRDecomposition
- Return the upper triangular factor
- getRaceType() -
Method in class weka.attributeSelection.RaceSearch
- Get the race type
- getRadius() -
Method in class weka.core.neighboursearch.balltrees.BallNode
- Returns the radius of the node's ball.
- getRandom() -
Method in class weka.datagenerators.DataGenerator
- Gets the random generator.
- getRandomize() -
Method in class weka.filters.unsupervised.attribute.PropositionalToMultiInstance
- Gets whether the order of the generated is randomized
- getRandomizeData() -
Method in class weka.experiment.RandomSplitResultProducer
- Get if dataset is to be randomized
- getRandomNumberGenerator(long) -
Method in class weka.core.Instances
- Returns a random number generator.
- getRandomOrder() -
Method in class weka.classifiers.bayes.net.search.global.K2
- Get random order flag
- getRandomOrder() -
Method in class weka.classifiers.bayes.net.search.local.K2
- Get random order flag
- getRandomSeed() -
Method in class weka.classifiers.functions.LeastMedSq
- get the seed for the random number generator
- getRandomSeed() -
Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getRandomSeed() -
Method in class weka.classifiers.functions.SMO
- Get the value of randomSeed.
- getRandomSeed() -
Method in class weka.classifiers.mi.MISMO
- Get the value of randomSeed.
- getRandomSeed() -
Method in class weka.classifiers.trees.ADTree
- Gets random seed for a random walk.
- getRandomSeed() -
Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
- Returns the seed value of random
number generator.
- getRandomSeed() -
Method in class weka.filters.supervised.instance.Resample
- Gets the random number seed.
- getRandomSeed() -
Method in class weka.filters.supervised.instance.SMOTE
- Gets the random number seed.
- getRandomSeed() -
Method in class weka.filters.supervised.instance.SpreadSubsample
- Gets the random number seed.
- getRandomSeed() -
Method in class weka.filters.unsupervised.attribute.AddNoise
- Gets the random number seed.
- getRandomSeed() -
Method in class weka.filters.unsupervised.attribute.RandomProjection
- Gets the random seed of the random number generator
- getRandomSeed() -
Method in class weka.filters.unsupervised.instance.Randomize
- Get the random number generator seed value.
- getRandomSeed() -
Method in class weka.filters.unsupervised.instance.Resample
- Gets the random number seed.
- getRandomSeed() -
Method in class weka.filters.unsupervised.instance.ReservoirSample
- Gets the random number seed.
- getRandomWidthFactor() -
Method in class weka.classifiers.meta.MultiClassClassifier
- Gets the multiplier when generating random codes.
- getRange(int) -
Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
- Gets a single Range from the set of available Ranges.
- getRangeCorrection() -
Method in class weka.classifiers.meta.ThresholdSelector
- Gets the confidence range correction mode used.
- getRanges() -
Method in class weka.core.NormalizableDistance
- Method to get the ranges.
- getRanges() -
Method in class weka.core.Range
- Gets the string representing the selected range of values
- getRanges() -
Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
- Gets the list of possible Ranges to choose from.
- getRank() -
Method in class weka.attributeSelection.LatentSemanticAnalysis
- Gets the desired matrix rank (or coverage proportion) for feature-space reduction
- getRawOutput() -
Method in class weka.experiment.CrossValidationResultProducer
- Get if raw split evaluator output is to be saved
- getRawOutput() -
Method in class weka.experiment.RandomSplitResultProducer
- Get if raw split evaluator output is to be saved
- getRawResultOutput() -
Method in class weka.experiment.ClassifierSplitEvaluator
- Gets the raw output from the classifier
- getRawResultOutput() -
Method in class weka.experiment.DensityBasedClustererSplitEvaluator
- Gets the raw output from the classifier
- getRawResultOutput() -
Method in class weka.experiment.RegressionSplitEvaluator
- Gets the raw output from the classifier
- getRawResultOutput() -
Method in interface weka.experiment.SplitEvaluator
- Returns the raw output for the most recent call to getResult.
- getReachabilityDistance() -
Method in interface weka.clusterers.forOPTICSAndDBScan.DataObjects.DataObject
- Returns the reachabilityDistance for this dataObject
- getReachabilityDistance() -
Method in class weka.clusterers.forOPTICSAndDBScan.DataObjects.EuclidianDataObject
- Returns the reachabilityDistance for this dataObject
- getReachabilityDistance() -
Method in class weka.clusterers.forOPTICSAndDBScan.DataObjects.ManhattanDataObject
- Returns the reachabilityDistance for this dataObject
- getReadable() -
Method in class weka.core.Tag
- Gets the string description of the Tag.
- getReader(String, String) -
Static method in class weka.gui.Loader
- returns a Reader for the given filename and dir, can be NULL if it fails
- getReader(String) -
Method in class weka.gui.Loader
- returns a Reader for the given filename, can be NULL if it fails
- getReadIncrementally() -
Method in class weka.gui.SetInstancesPanel
- Gets whether instances are to be read incrementally or not
- getRealEigenvalues() -
Method in class weka.core.matrix.EigenvalueDecomposition
- Return the real parts of the eigenvalues
- getRecall() -
Method in class weka.classifiers.evaluation.TwoClassStats
- Calculate the recall.
- getReducedErrorPruning() -
Method in class weka.classifiers.rules.PART
- Get the value of reducedErrorPruning.
- getReducedErrorPruning() -
Method in class weka.classifiers.trees.J48
- Get the value of reducedErrorPruning.
- getRefer() -
Method in class weka.gui.treevisualizer.Node
- Get the value of refer.
- getRefreshFreq() -
Method in class weka.gui.beans.StripChart
- Get the refresh frequency
- getRegOptimizer() -
Method in class weka.classifiers.functions.SVMreg
- returns the learning algorithm
- getRegressionTree() -
Method in class weka.classifiers.trees.m5.Rule
- Get the value of regressionTree.
- getRegressionTree() -
Method in class weka.classifiers.trees.m5.RuleNode
- Get the value of regressionTree.
- getRelabel() -
Method in class weka.classifiers.trees.J48graft
- Get the value of relabelling
- getRelation() -
Method in class weka.core.TestInstances
- returns the current name of the relation
- getRelationalClassFormat() -
Method in class weka.core.TestInstances
- returns the current strcuture of the relational class attribute, can
be null
- getRelationalFormat(int) -
Method in class weka.core.TestInstances
- returns the format for the specified relational attribute, can be null
- getRelationForTableName() -
Method in class weka.core.converters.DatabaseSaver
- Gets whether or not the relation name is used as name of the table
- getRelationName() -
Method in class weka.datagenerators.DataGenerator
- Gets the relation name the dataset should have.
- getRelationNameForFilename() -
Method in class weka.gui.beans.Saver
- Get whether the relation name is the primary part of the filename.
- getRemoteHosts() -
Method in class weka.experiment.RemoteExperiment
- Get the list of remote host names
- getRemoveAllMissingCols() -
Method in class weka.associations.Apriori
- Returns whether columns containing all missing values are to be removed
- getRemoveClassColumn() -
Method in class weka.experiment.DensityBasedClustererSplitEvaluator
- Get whether the class column is to be removed.
- getRemovedPercentage() -
Method in class weka.classifiers.meta.RotationForest
- Gets the percentage of instances to be removed
- getRemoveFilterClassnames() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- whether the filter classnames in the dataset names are removed by default
- getRemoveFilterName() -
Method in class weka.experiment.ResultMatrix
- returns whether the filter classname is removed from the dataset name
- getRemoveFilterName() -
Method in class weka.gui.experiment.OutputFormatDialog
- returns whether the filter classname is removed from the dataset name.
- getRemoveOldClass() -
Method in class weka.filters.supervised.attribute.AddClassification
- Get whether the old class attribute is removed.
- getRemoveUnused() -
Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
- Gets whether unused attributes (ones that are not covered by any of the
ranges) are removed from the output.
- getRenderingHint(RenderingHints.Key) -
Method in class weka.gui.visualize.PostscriptGraphics
-
- getRenderingHints() -
Method in class weka.gui.visualize.PostscriptGraphics
-
- getRepeatLiterals() -
Method in class weka.associations.Tertius
- Get the value of repeatLiterals.
- getRepetitions() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns the number of repetitions to use
- getReplacement() -
Method in class weka.classifiers.meta.EnsembleSelection
- Get the value of replacement.
- getReplaceMissing() -
Method in class weka.filters.supervised.attribute.PLSFilter
- Gets whether missing values are replace.
- getReplaceMissingValues() -
Method in class weka.filters.unsupervised.attribute.RandomProjection
- Gets the current setting for using ReplaceMissingValues filter
- getReportFrequency() -
Method in class weka.attributeSelection.GeneticSearch
- get how often repports are generated
- getRepulsion() -
Method in class weka.clusterers.CLOPE
- gets the repulsion
- getReset() -
Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getReset() -
Method in class weka.gui.beans.ChartEvent
- get the value of the reset flag
- getResult() -
Method in class weka.core.mathematicalexpression.Parser
- Returns the result of the evaluation.
- getResult(double[]) -
Method in class weka.core.pmml.BuiltInArithmetic
- Get the result of applying this function.
- getResult(double[]) -
Method in class weka.core.pmml.BuiltInMath
- Get the result of applying this function.
- getResult(double[]) -
Method in class weka.core.pmml.BuiltInString
- Get the result of applying this function.
- getResult(double[]) -
Method in class weka.core.pmml.Constant
- Get the result of evaluating the expression.
- getResult(double[]) -
Method in class weka.core.pmml.DefineFunction
- Get the result of applying this function.
- getResult(double[]) -
Method in class weka.core.pmml.Discretize
- Get the result of evaluating the expression.
- getResult(double[]) -
Method in class weka.core.pmml.Expression
- Get the result of evaluating the expression.
- getResult(double[]) -
Method in class weka.core.pmml.FieldRef
-
- getResult(double[]) -
Method in class weka.core.pmml.Function
- Get the result of applying this function.
- getResult(double[]) -
Method in class weka.core.pmml.NormContinuous
- Get the result of evaluating the expression.
- getResult(double[]) -
Method in class weka.core.pmml.NormDiscrete
- Get the result of evaluating the expression.
- getResult(Instances, Instances) -
Method in class weka.experiment.ClassifierSplitEvaluator
- Gets the results for the supplied train and test datasets.
- getResult(Instances, Instances) -
Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
- Gets the results for the supplied train and test datasets.
- getResult(Instances, Instances) -
Method in class weka.experiment.DensityBasedClustererSplitEvaluator
- Gets the results for the supplied train and test datasets.
- getResult(Instances, Instances) -
Method in class weka.experiment.RegressionSplitEvaluator
- Gets the results for the supplied train and test datasets.
- getResult(Instances, Instances) -
Method in interface weka.experiment.SplitEvaluator
- Gets the results for the supplied train and test datasets.
- getResult() -
Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
- Returns the result of the evaluation.
- getResult() -
Method in class weka.gui.experiment.OutputFormatDialog
- the result from the last display of the dialog, the same is returned
from
showDialog.
- getResultCategorical(double[]) -
Method in class weka.core.pmml.Constant
- Gets the result of evaluating the expression when the
optype is categorical or ordinal as the actual String
value.
- getResultCategorical(double[]) -
Method in class weka.core.pmml.Discretize
- Gets the result of evaluating the expression when the
optype is categorical or ordinal as the actual String
value.
- getResultCategorical(double[]) -
Method in class weka.core.pmml.Expression
- Gets the result of evaluating the expression when the
optype is categorical or ordinal as the actual String
value.
- getResultCategorical(double[]) -
Method in class weka.core.pmml.FieldRef
-
- getResultCategorical(double[]) -
Method in class weka.core.pmml.NormContinuous
- Always throws an Exception since the result of NormContinuous must
be continuous.
- getResultCategorical(double[]) -
Method in class weka.core.pmml.NormDiscrete
- Always throws an Exception since the result of NormDiscrete must
be continuous.
- getResultContinuous(double[]) -
Method in class weka.core.pmml.Expression
- Get the result of evaluating the expression for continuous
optype.
- getResultFromTable(String, ResultProducer, Object[]) -
Method in class weka.experiment.DatabaseUtils
- Executes a database query to extract a result for the supplied key
from the database.
- getResultInverse(double[]) -
Method in class weka.core.pmml.NormContinuous
- Compute the inverse of the normalization (i.e.
- getResultListener() -
Method in class weka.experiment.Experiment
- Gets the result listener where results will be sent.
- getResultMatrix() -
Method in class weka.experiment.PairedTTester
- Gets the instance that produces the output.
- getResultMatrix() -
Method in interface weka.experiment.Tester
- Gets the instance that produces the output.
- getResultMatrix() -
Method in class weka.gui.experiment.OutputFormatDialog
- Gets the currently selected output format result matrix.
- getResultNames() -
Method in class weka.experiment.AveragingResultProducer
- Gets the names of each of the columns produced for a single run.
- getResultNames() -
Method in class weka.experiment.ClassifierSplitEvaluator
- Gets the names of each of the result columns produced for a single run.
- getResultNames() -
Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
- Gets the names of each of the result columns produced for a single run.
- getResultNames() -
Method in class weka.experiment.CrossValidationResultProducer
- Gets the names of each of the columns produced for a single run.
- getResultNames() -
Method in class weka.experiment.DatabaseResultProducer
- Gets the names of each of the columns produced for a single run.
- getResultNames() -
Method in class weka.experiment.DensityBasedClustererSplitEvaluator
- Gets the names of each of the result columns produced for a single run.
- getResultNames() -
Method in class weka.experiment.LearningRateResultProducer
- Gets the names of each of the columns produced for a single run.
- getResultNames() -
Method in class weka.experiment.RandomSplitResultProducer
- Gets the names of each of the columns produced for a single run.
- getResultNames() -
Method in class weka.experiment.RegressionSplitEvaluator
- Gets the names of each of the result columns produced for a single run.
- getResultNames() -
Method in interface weka.experiment.ResultProducer
- Gets the names of each of the result columns produced for a single run.
- getResultNames() -
Method in interface weka.experiment.SplitEvaluator
- Gets the names of each of the result columns produced for a single run.
- getResultProducer() -
Method in class weka.experiment.AveragingResultProducer
- Get the ResultProducer.
- getResultProducer() -
Method in class weka.experiment.DatabaseResultProducer
- Get the ResultProducer.
- getResultProducer() -
Method in class weka.experiment.Experiment
- Get the result producer used for the current experiment.
- getResultProducer() -
Method in class weka.experiment.LearningRateResultProducer
- Get the ResultProducer.
- getResults() -
Method in class weka.associations.Tertius
- returns the results
- getResultSet() -
Method in class weka.experiment.DatabaseUtils
- Gets the results generated by a previous query.
- getResultSet() -
Method in class weka.gui.sql.event.QueryExecuteEvent
- returns the resultset that was produced, can be null in case the query
failed
- getResultSet() -
Method in class weka.gui.sql.ResultSetHelper
- the underlying resultset.
- getResultsetKeyColumns() -
Method in class weka.experiment.PairedTTester
- Get the value of ResultsetKeyColumns.
- getResultsetKeyColumns() -
Method in interface weka.experiment.Tester
- Get the value of ResultsetKeyColumns.
- getResultsetName(int) -
Method in class weka.experiment.PairedTTester
- Gets a string descriptive of the specified resultset.
- getResultsetName(int) -
Method in interface weka.experiment.Tester
- Gets a string descriptive of the specified resultset.
- getResultsTableName(ResultProducer) -
Method in class weka.experiment.DatabaseUtils
- Gets the name of the experiment table that stores results from a
particular ResultProducer.
- getResultTypes() -
Method in class weka.experiment.AveragingResultProducer
- Gets the data types of each of the columns produced for a single run.
- getResultTypes() -
Method in class weka.experiment.ClassifierSplitEvaluator
- Gets the data types of each of the result columns produced for a
single run.
- getResultTypes() -
Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
- Gets the data types of each of the result columns produced for a
single run.
- getResultTypes() -
Method in class weka.experiment.CrossValidationResultProducer
- Gets the data types of each of the columns produced for a single run.
- getResultTypes() -
Method in class weka.experiment.DatabaseResultProducer
- Gets the data types of each of the columns produced for a single run.
- getResultTypes() -
Method in class weka.experiment.DensityBasedClustererSplitEvaluator
- Gets the data types of each of the result columns produced for a
single run.
- getResultTypes() -
Method in class weka.experiment.LearningRateResultProducer
- Gets the data types of each of the columns produced for a single run.
- getResultTypes() -
Method in class weka.experiment.RandomSplitResultProducer
- Gets the data types of each of the columns produced for a single run.
- getResultTypes() -
Method in class weka.experiment.RegressionSplitEvaluator
- Gets the data types of each of the result columns produced for a
single run.
- getResultTypes() -
Method in interface weka.experiment.ResultProducer
- Gets the data types of each of the result columns produced for a
single run.
- getResultTypes() -
Method in interface weka.experiment.SplitEvaluator
- Gets the data types of each of the result columns produced for a
single run.
- getResultVector() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.SERObject
- Returns the resultVector
- getResultVector() -
Method in class weka.clusterers.OPTICS
- Returns the resultVector
- getReturnValue() -
Method in class weka.gui.DatabaseConnectionDialog
- Returns which of OK or cancel was clicked from dialog
- getReturnValue() -
Method in class weka.gui.sql.SqlViewerDialog
- returns whether the user clicked OK (JOptionPane.OK_OPTION) or whether he
cancelled the dialog (JOptionPane.CANCEL_OPTION)
- getRevision() -
Method in class weka.associations.Apriori
- Returns the revision string.
- getRevision() -
Method in class weka.associations.AprioriItemSet
- Returns the revision string.
- getRevision() -
Method in class weka.associations.AssociatorEvaluation
- Returns the revision string.
- getRevision() -
Method in class weka.associations.CaRuleGeneration
- Returns the revision string.
- getRevision() -
Method in class weka.associations.CheckAssociator
- Returns the revision string.
- getRevision() -
Method in class weka.associations.FilteredAssociator
- Returns the revision string.
- getRevision() -
Method in class weka.associations.GeneralizedSequentialPatterns
- Returns the revision string.
- getRevision() -
Method in class weka.associations.gsp.Element
- Returns the revision string.
- getRevision() -
Method in class weka.associations.gsp.Sequence
- Returns the revision string.
- getRevision() -
Method in class weka.associations.HotSpot
- Returns the revision string.
- getRevision() -
Method in class weka.associations.ItemSet
- Returns the revision string.
- getRevision() -
Method in class weka.associations.LabeledItemSet
- Returns the revision string.
- getRevision() -
Method in class weka.associations.PredictiveApriori
- Returns the revision string.
- getRevision() -
Method in class weka.associations.PriorEstimation
- Returns the revision string.
- getRevision() -
Method in class weka.associations.RuleGeneration
- Returns the revision string.
- getRevision() -
Method in class weka.associations.RuleItem
- Returns the revision string.
- getRevision() -
Method in class weka.associations.tertius.AttributeValueLiteral
- Returns the revision string.
- getRevision() -
Method in class weka.associations.tertius.Body
- Returns the revision string.
- getRevision() -
Method in class weka.associations.Tertius
- Returns the revision string.
- getRevision() -
Method in class weka.associations.tertius.Head
- Returns the revision string.
- getRevision() -
Method in class weka.associations.tertius.IndividualInstance
- Returns the revision string.
- getRevision() -
Method in class weka.associations.tertius.IndividualInstances
- Returns the revision string.
- getRevision() -
Method in class weka.associations.tertius.IndividualLiteral
- Returns the revision string.
- getRevision() -
Method in class weka.associations.tertius.Predicate
- Returns the revision string.
- getRevision() -
Method in class weka.associations.tertius.Rule
- Returns the revision string.
- getRevision() -
Method in class weka.associations.tertius.SimpleLinkedList
- Returns the revision string.
- getRevision() -
Method in class weka.associations.tertius.SimpleLinkedList.LinkedListInverseIterator
- Returns the revision string.
- getRevision() -
Method in class weka.associations.tertius.SimpleLinkedList.LinkedListIterator
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.ASEvaluation
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.ASSearch
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.AttributeSelection
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.BestFirst
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.BestFirst.Link2
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.BestFirst.LinkedList2
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.CfsSubsetEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.CheckAttributeSelection
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.ChiSquaredAttributeEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.ClassifierSubsetEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.ConsistencySubsetEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.ConsistencySubsetEval.hashKey
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.CostSensitiveASEvaluation
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.CostSensitiveAttributeEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.CostSensitiveSubsetEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.ExhaustiveSearch
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.FCBFSearch
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.FilteredAttributeEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.FilteredSubsetEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.GainRatioAttributeEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.GeneticSearch
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.GreedyStepwise
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.InfoGainAttributeEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.LatentSemanticAnalysis
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.LFSMethods
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.LFSMethods.Link2
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.LFSMethods.LinkedList2
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.LinearForwardSelection
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.OneRAttributeEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.PrincipalComponents
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.RaceSearch
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.RandomSearch
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.Ranker
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.RankSearch
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.ReliefFAttributeEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.ScatterSearchV1
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.SubsetSizeForwardSelection
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.SVMAttributeEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.SymmetricalUncertAttributeSetEval
- Returns the revision string.
- getRevision() -
Method in class weka.attributeSelection.WrapperSubsetEval
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.AODE
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.AODEsr
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.BayesianLogisticRegression
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.BayesNet
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.blr.GaussianPriorImpl
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.blr.LaplacePriorImpl
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.ComplementNaiveBayes
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.DMNBtext
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.HNB
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.NaiveBayes
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.NaiveBayesMultinomial
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.NaiveBayesSimple
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.NaiveBayesUpdateable
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.ADNode
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.BayesNetGenerator
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.BIFReader
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.EditableBayesNet
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorFullBayes
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.MarginCalculator
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeSeparator
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.ParentSet
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.ci.CISearchAlgorithm
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.fixed.FromFile
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.fixed.NaiveBayes
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.global.HillClimber
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.global.K2
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.global.TabuSearch
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.global.TAN
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.local.HillClimber
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.local.K2
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.local.TabuSearch
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.local.TAN
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.net.VaryNode
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.bayes.WAODE
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.BVDecompose
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.CheckClassifier
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.CheckSource
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.CostMatrix
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.EnsembleLibrary
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.EnsembleLibraryModel
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.EnsembleLibraryModelComparator
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.evaluation.ConfusionMatrix
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.evaluation.CostCurve
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.evaluation.EvaluationUtils
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.Evaluation
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.evaluation.MarginCurve
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.evaluation.NominalPrediction
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.evaluation.NumericPrediction
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.evaluation.ThresholdCurve
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.evaluation.TwoClassStats
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.GaussianProcesses
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.IsotonicRegression
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.LeastMedSq
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.LibLINEAR
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.LibSVM
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.LinearRegression
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.Logistic
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.MultilayerPerceptron
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.neural.LinearUnit
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.neural.NeuralNode
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.neural.SigmoidUnit
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.pace.ChisqMixture
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.pace.DiscreteFunction
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.pace.NormalMixture
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.pace.PaceMatrix
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.PaceRegression
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.PLSClassifier
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.RBFNetwork
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.SimpleLinearRegression
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.SimpleLogistic
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.SMO.BinarySMO
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.SMO
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.SMOreg
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.supportVector.CheckKernel
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.supportVector.KernelEvaluation
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.supportVector.PolyKernel
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.supportVector.Puk
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.supportVector.RBFKernel
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.supportVector.RegOptimizer
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.supportVector.RegSMO
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.supportVector.RegSMOImproved
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.supportVector.SMOset
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.supportVector.StringKernel
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.SVMreg
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.VotedPerceptron
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.functions.Winnow
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.JythonClassifier
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.lazy.IB1
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.lazy.IBk
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.lazy.KStar
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.lazy.kstar.KStarCache
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.lazy.kstar.KStarCache.TableEntry
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.lazy.kstar.KStarNominalAttribute
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.lazy.kstar.KStarWrapper
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.lazy.LBR
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.lazy.LBR.Indexes
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.lazy.LWL
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.AdaBoostM1
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.AdditiveRegression
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.AttributeSelectedClassifier
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.Bagging
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.ClassificationViaClustering
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.ClassificationViaRegression
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.CostSensitiveClassifier
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.CVParameterSelection
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.Dagging
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.Decorate
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.END
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.ensembleSelection.EnsembleMetricHelper
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.EnsembleSelection
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.ensembleSelection.ModelBag
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.FilteredClassifier
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.Grading
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.GridSearch
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.LogitBoost
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.MetaCost
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.MultiBoostAB
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.MultiClassClassifier
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.MultiScheme
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.nestedDichotomies.ClassBalancedND
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.nestedDichotomies.DataNearBalancedND
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.nestedDichotomies.ND
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.OrdinalClassClassifier
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.RandomCommittee
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.RandomSubSpace
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.RegressionByDiscretization
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.RotationForest
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.Stacking
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.StackingC
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.ThresholdSelector
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.meta.Vote
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.CitationKNN
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.MDD
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.MIBoost
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.MIDD
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.MIEMDD
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.MILR
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.MINND
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.MIOptimalBall
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.MISMO
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.MISVM
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.MIWrapper
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.SimpleMI
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.supportVector.MIPolyKernel
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.supportVector.MIRBFKernel
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.TLD
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.mi.TLDSimple
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.FLR
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.HyperPipes
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.MinMaxExtension
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.monotone.AbsoluteLossFunction
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.monotone.BooleanBitMatrix
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.monotone.Coordinates
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.monotone.CumulativeDiscreteDistribution
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.monotone.DiscreteDistribution
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.monotone.DistributionUtils
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.monotone.EnumerationIterator
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.monotone.InstancesComparator
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.monotone.InstancesUtil
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.monotone.MultiDimensionalSort
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.monotone.ZeroOneLossFunction
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.OLM
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.OSDL
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.SerializedClassifier
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.misc.VFI
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.pmml.consumer.GeneralRegression
-
- getRevision() -
Method in class weka.classifiers.pmml.consumer.NeuralNetwork
-
- getRevision() -
Method in class weka.classifiers.pmml.consumer.Regression
-
- getRevision() -
Method in class weka.classifiers.rules.ConjunctiveRule
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.DecisionTable
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.DecisionTableHashKey
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.DTNB
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.JRip
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.M5Rules
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.NNge
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.OneR
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.part.C45PruneableDecList
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.part.ClassifierDecList
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.PART
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.part.MakeDecList
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.part.PruneableDecList
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.Prism
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.Ridor
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.RuleStats
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.rules.ZeroR
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.ADTree
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.adtree.PredictionNode
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.adtree.ReferenceInstances
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.adtree.TwoWayNominalSplit
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.adtree.TwoWayNumericSplit
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.BFTree
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.DecisionStump
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.ft.FTInnerNode
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.ft.FTLeavesNode
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.ft.FTNode
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.ft.FTtree
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.FT
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.Id3
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.BinC45ModelSelection
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.BinC45Split
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.C45ModelSelection
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.C45PruneableClassifierTreeG
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.C45Split
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.ClassifierTree
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.Distribution
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.EntropySplitCrit
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.GainRatioSplitCrit
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.J48
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.GraftSplit
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.InfoGainSplitCrit
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.NBTreeModelSelection
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.NBTreeNoSplit
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.NBTreeSplit
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.NoSplit
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.PruneableClassifierTree
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.j48.Stats
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.J48graft
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.LADTree
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.LMT
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.lmt.LMTNode
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.lmt.LogisticBase
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.lmt.ResidualModelSelection
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.lmt.ResidualSplit
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.m5.Impurity
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.m5.Rule
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.m5.RuleNode
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.m5.Values
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.m5.YongSplitInfo
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.M5P
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.NBTree
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.RandomForest
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.RandomTree
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.REPTree
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.SimpleCart
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.trees.UserClassifier
- Returns the revision string.
- getRevision() -
Method in class weka.classifiers.xml.XMLClassifier
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.CheckClusterer
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.CLOPE
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.ClusterEvaluation
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.Cobweb
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.DBScan
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.EM
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.FarthestFirst
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.FilteredClusterer
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.forOPTICSAndDBScan.Databases.SequentialDatabase
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.forOPTICSAndDBScan.DataObjects.EuclidianDataObject
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.forOPTICSAndDBScan.DataObjects.ManhattanDataObject
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.GraphPanel
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.OPTICS_Visualizer
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.ResultVectorTableModel
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.SERFileFilter
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.SERObject
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.forOPTICSAndDBScan.Utils.EpsilonRange_ListElement
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.forOPTICSAndDBScan.Utils.PriorityQueue
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.forOPTICSAndDBScan.Utils.PriorityQueueElement
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.forOPTICSAndDBScan.Utils.UpdateQueue
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.forOPTICSAndDBScan.Utils.UpdateQueueElement
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.MakeDensityBasedClusterer
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.OPTICS
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.sIB
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.SimpleKMeans
- Returns the revision string.
- getRevision() -
Method in class weka.clusterers.XMeans
- Returns the revision string.
- getRevision() -
Method in class weka.core.AlgVector
- Returns the revision string.
- getRevision() -
Method in class weka.core.AllJavadoc
- Returns the revision string.
- getRevision() -
Method in class weka.core.Attribute
- Returns the revision string.
- getRevision() -
Method in class weka.core.AttributeExpression
- Returns the revision string.
- getRevision() -
Method in class weka.core.AttributeLocator
- Returns the revision string.
- getRevision() -
Method in class weka.core.AttributeStats
- Returns the revision string.
- getRevision() -
Method in class weka.core.BinarySparseInstance
- Returns the revision string.
- getRevision() -
Method in class weka.core.Capabilities
- Returns the revision string.
- getRevision() -
Method in class weka.core.ChebyshevDistance
- Returns the revision string.
- getRevision() -
Method in class weka.core.CheckGOE
- Returns the revision string.
- getRevision() -
Method in class weka.core.CheckOptionHandler
- Returns the revision string.
- getRevision() -
Method in class weka.core.CheckScheme.PostProcessor
- Returns the revision string.
- getRevision() -
Method in class weka.core.ClassDiscovery
- Returns the revision string.
- getRevision() -
Method in class weka.core.ClassDiscovery.StringCompare
- Returns the revision string.
- getRevision() -
Method in class weka.core.ClassloaderUtil
- Returns the revision string.
- getRevision() -
Method in class weka.core.ContingencyTables
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.ArffLoader.ArffReader
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.ArffLoader
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.ArffSaver
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.C45Loader
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.C45Saver
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.ConverterUtils.DataSink
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.ConverterUtils.DataSource
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.ConverterUtils
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.CSVLoader
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.CSVSaver
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.DatabaseConnection
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.DatabaseLoader
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.DatabaseSaver
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.LibSVMLoader
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.LibSVMSaver
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.SerializedInstancesLoader
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.SerializedInstancesSaver
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.SVMLightLoader
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.SVMLightSaver
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.TextDirectoryLoader
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.XRFFLoader
- Returns the revision string.
- getRevision() -
Method in class weka.core.converters.XRFFSaver
- Returns the revision string.
- getRevision() -
Method in class weka.core.Debug.Clock
- Returns the revision string.
- getRevision() -
Method in class weka.core.Debug.DBO
- Returns the revision string.
- getRevision() -
Method in class weka.core.Debug
- Returns the revision string.
- getRevision() -
Method in class weka.core.Debug.Log
- Returns the revision string.
- getRevision() -
Method in class weka.core.Debug.Random
- Returns the revision string.
- getRevision() -
Method in class weka.core.Debug.SimpleLog
- Returns the revision string.
- getRevision() -
Method in class weka.core.Debug.Timestamp
- Returns the revision string.
- getRevision() -
Method in class weka.core.EditDistance
- Returns the revision string.
- getRevision() -
Method in class weka.core.Environment
- Returns the revision string.
- getRevision() -
Method in class weka.core.EuclideanDistance
- Returns the revision string.
- getRevision() -
Method in class weka.core.FastVector.FastVectorEnumeration
- Returns the revision string.
- getRevision() -
Method in class weka.core.FastVector
- Returns the revision string.
- getRevision() -
Method in class weka.core.FindWithCapabilities
- Returns the revision string.
- getRevision() -
Method in class weka.core.GlobalInfoJavadoc
- Returns the revision string.
- getRevision() -
Method in class weka.core.Instance
- Returns the revision string.
- getRevision() -
Method in class weka.core.InstanceComparator
- Returns the revision string.
- getRevision() -
Method in class weka.core.Instances
- Returns the revision string.
- getRevision() -
Method in class weka.core.Jython
- Returns the revision string.
- getRevision() -
Method in class weka.core.ListOptions
- Returns the revision string.
- getRevision() -
Method in class weka.core.logging.ConsoleLogger
- Returns the revision string.
- getRevision() -
Method in class weka.core.logging.FileLogger
- Returns the revision string.
- getRevision() -
Method in class weka.core.logging.OutputLogger
- Returns the revision string.
- getRevision() -
Method in class weka.core.ManhattanDistance
- Returns the revision string.
- getRevision() -
Method in class weka.core.MathematicalExpression
- Returns the revision string.
- getRevision() -
Method in class weka.core.matrix.CholeskyDecomposition
- Returns the revision string.
- getRevision() -
Method in class weka.core.matrix.DoubleVector
- Returns the revision string.
- getRevision() -
Method in class weka.core.matrix.EigenvalueDecomposition
- Returns the revision string.
- getRevision() -
Method in class weka.core.matrix.ExponentialFormat
- Returns the revision string.
- getRevision() -
Method in class weka.core.matrix.FlexibleDecimalFormat
- Returns the revision string.
- getRevision() -
Method in class weka.core.matrix.FloatingPointFormat
- Returns the revision string.
- getRevision() -
Method in class weka.core.Matrix
- Deprecated. Returns the revision string.
- getRevision() -
Method in class weka.core.matrix.IntVector
- Returns the revision string.
- getRevision() -
Method in class weka.core.matrix.LinearRegression
- Returns the revision string.
- getRevision() -
Method in class weka.core.matrix.LUDecomposition
- Returns the revision string.
- getRevision() -
Method in class weka.core.matrix.Maths
- Returns the revision string.
- getRevision() -
Method in class weka.core.matrix.Matrix
- Returns the revision string.
- getRevision() -
Method in class weka.core.matrix.QRDecomposition
- Returns the revision string.
- getRevision() -
Method in class weka.core.matrix.SingularValueDecomposition
- Returns the revision string.
- getRevision() -
Method in class weka.core.Memory
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.BallTree
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.balltrees.BallNode
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.balltrees.BallSplitter
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.CoverTree.CoverTreeNode
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.CoverTree
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.covertrees.Stack
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.KDTree
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.LinearNNSearch
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.PerformanceStats
- Returns the revision string.
- getRevision() -
Method in class weka.core.neighboursearch.TreePerformanceStats
- Returns the revision string.
- getRevision() -
Method in class weka.core.Option
- Returns the revision string.
- getRevision() -
Method in class weka.core.OptionHandlerJavadoc
- Returns the revision string.
- getRevision() -
Method in class weka.core.PropertyPath
- Returns the revision string.
- getRevision() -
Method in class weka.core.PropertyPath.Path
- Returns the revision string.
- getRevision() -
Method in class weka.core.PropertyPath.PathElement
- Returns the revision string.
- getRevision() -
Method in class weka.core.ProtectedProperties
- Returns the revision string.
- getRevision() -
Method in class weka.core.Queue
- Returns the revision string.
- getRevision() -
Method in class weka.core.RandomVariates
- Returns the revision string.
- getRevision() -
Method in class weka.core.Range
- Returns the revision string.
- getRevision() -
Method in class weka.core.RelationalLocator
- Returns the revision string.
- getRevision() -
Method in interface weka.core.RevisionHandler
- Returns the revision string.
- getRevision() -
Method in class weka.core.SelectedTag
- Returns the revision string.
- getRevision() -
Method in class weka.core.SerializationHelper
- Returns the revision string.
- getRevision() -
Method in class weka.core.SerializedObject
- Returns the revision string.
- getRevision() -
Method in class weka.core.SingleIndex
- Returns the revision string.
- getRevision() -
Method in class weka.core.SparseInstance
- Returns the revision string.
- getRevision() -
Method in class weka.core.SpecialFunctions
- Returns the revision string.
- getRevision() -
Method in class weka.core.Statistics
- Returns the revision string.
- getRevision() -
Method in class weka.core.stemmers.IteratedLovinsStemmer
- Returns the revision string.
- getRevision() -
Method in class weka.core.stemmers.LovinsStemmer
- Returns the revision string.
- getRevision() -
Method in class weka.core.stemmers.NullStemmer
- Returns the revision string.
- getRevision() -
Method in class weka.core.stemmers.SnowballStemmer
- Returns the revision string.
- getRevision() -
Method in class weka.core.stemmers.Stemming
- Returns the revision string.
- getRevision() -
Method in class weka.core.Stopwords
- Returns the revision string.
- getRevision() -
Method in class weka.core.StringLocator
- Returns the revision string.
- getRevision() -
Method in class weka.core.SystemInfo
- Returns the revision string.
- getRevision() -
Method in class weka.core.Tag
- Returns the revision string.
- getRevision() -
Method in class weka.core.TechnicalInformation
- Returns the revision string.
- getRevision() -
Method in class weka.core.TechnicalInformationHandlerJavadoc
- Returns the revision string.
- getRevision() -
Method in class weka.core.Tee
- Returns the revision string.
- getRevision() -
Method in class weka.core.TestInstances
- Returns the revision string.
- getRevision() -
Method in class weka.core.tokenizers.AlphabeticTokenizer
- Returns the revision string.
- getRevision() -
Method in class weka.core.tokenizers.NGramTokenizer
- Returns the revision string.
- getRevision() -
Method in class weka.core.tokenizers.WordTokenizer
- Returns the revision string.
- getRevision() -
Method in class weka.core.Trie
- Returns the revision string.
- getRevision() -
Method in class weka.core.Trie.TrieIterator
- Returns the revision string.
- getRevision() -
Method in class weka.core.Trie.TrieNode
- Returns the revision string.
- getRevision() -
Method in class weka.core.Utils
- Returns the revision string.
- getRevision() -
Method in class weka.core.Version
- Returns the revision string.
- getRevision() -
Method in class weka.core.xml.KOML
- Returns the revision string.
- getRevision() -
Method in class weka.core.xml.MethodHandler
- Returns the revision string.
- getRevision() -
Method in class weka.core.xml.PropertyHandler
- Returns the revision string.
- getRevision() -
Method in class weka.core.xml.SerialUIDChanger
- Returns the revision string.
- getRevision() -
Method in class weka.core.xml.XMLBasicSerialization
- Returns the revision string.
- getRevision() -
Method in class weka.core.xml.XMLDocument
- Returns the revision string.
- getRevision() -
Method in class weka.core.xml.XMLInstances
- Returns the revision string.
- getRevision() -
Method in class weka.core.xml.XMLOptions
- Returns the revision string.
- getRevision() -
Method in class weka.core.xml.XMLSerialization
- Returns the revision string.
- getRevision() -
Method in class weka.core.xml.XMLSerializationMethodHandler
- Returns the revision string.
- getRevision() -
Method in class weka.core.xml.XStream
- Returns the revision string.
- getRevision() -
Method in class weka.datagenerators.classifiers.classification.Agrawal
- Returns the revision string.
- getRevision() -
Method in class weka.datagenerators.classifiers.classification.BayesNet
- Returns the revision string.
- getRevision() -
Method in class weka.datagenerators.classifiers.classification.LED24
- Returns the revision string.
- getRevision() -
Method in class weka.datagenerators.classifiers.classification.RandomRBF
- Returns the revision string.
- getRevision() -
Method in class weka.datagenerators.classifiers.classification.RDG1
- Returns the revision string.
- getRevision() -
Method in class weka.datagenerators.classifiers.regression.Expression
- Returns the revision string.
- getRevision() -
Method in class weka.datagenerators.classifiers.regression.MexicanHat
- Returns the revision string.
- getRevision() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Returns the revision string.
- getRevision() -
Method in class weka.datagenerators.clusterers.SubspaceCluster
- Returns the revision string.
- getRevision() -
Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
- Returns the revision string.
- getRevision() -
Method in class weka.datagenerators.Test
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.CheckEstimator.AttrTypes
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.CheckEstimator.EstTypes
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.CheckEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.CheckEstimator.PostProcessor
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.DDConditionalEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.DiscreteEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.DKConditionalEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.DNConditionalEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.EstimatorUtils
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.KDConditionalEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.KernelEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.KKConditionalEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.MahalanobisEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.NDConditionalEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.NNConditionalEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.NormalEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.estimators.PoissonEstimator
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.AveragingResultProducer
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.ClassifierSplitEvaluator
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.CrossValidationResultProducer
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.CSVResultListener
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.DatabaseResultListener
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.DatabaseResultProducer
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.DatabaseUtils
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.DensityBasedClustererSplitEvaluator
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.Experiment
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.InstanceQuery
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.InstancesResultListener
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.LearningRateResultProducer
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.OutputZipper
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.PairedCorrectedTTester
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.PairedStats
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.PairedStatsCorrected
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.PairedTTester
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.PropertyNode
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.RandomSplitResultProducer
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.RegressionSplitEvaluator
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.RemoteEngine
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.RemoteExperiment
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.RemoteExperimentSubTask
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.ResultMatrixCSV
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.ResultMatrixGnuPlot
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.ResultMatrixHTML
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.ResultMatrixLatex
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.ResultMatrixPlainText
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.ResultMatrixSignificance
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.Stats
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.TaskStatusInfo
- Returns the revision string.
- getRevision() -
Method in class weka.experiment.xml.XMLExperiment
- Returns the revision string.
- getRevision() -
Method in class weka.filters.AllFilter
- Returns the revision string.
- getRevision() -
Method in class weka.filters.CheckSource
- Returns the revision string.
- getRevision() -
Method in class weka.filters.MultiFilter
- Returns the revision string.
- getRevision() -
Method in class weka.filters.supervised.attribute.AddClassification
- Returns the revision string.
- getRevision() -
Method in class weka.filters.supervised.attribute.AttributeSelection
- Returns the revision string.
- getRevision() -
Method in class weka.filters.supervised.attribute.ClassOrder
- Returns the revision string.
- getRevision() -
Method in class weka.filters.supervised.attribute.Discretize
- Returns the revision string.
- getRevision() -
Method in class weka.filters.supervised.attribute.NominalToBinary
- Returns the revision string.
- getRevision() -
Method in class weka.filters.supervised.attribute.PLSFilter
- Returns the revision string.
- getRevision() -
Method in class weka.filters.supervised.instance.Resample
- Returns the revision string.
- getRevision() -
Method in class weka.filters.supervised.instance.SMOTE
- Returns the revision string.
- getRevision() -
Method in class weka.filters.supervised.instance.SpreadSubsample
- Returns the revision string.
- getRevision() -
Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.Add
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.AddCluster
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.AddExpression
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.AddID
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.AddNoise
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.AddValues
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.Center
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.ClassAssigner
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.ClusterMembership
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.Copy
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.Discretize
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.FirstOrder
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.InterquartileRange
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.KernelFilter
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.MakeIndicator
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.MathExpression
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.MergeTwoValues
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.MultiInstanceToPropositional
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.NominalToBinary
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.NominalToString
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.Normalize
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.NumericCleaner
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.NumericToBinary
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.NumericToNominal
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.NumericTransform
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.Obfuscate
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.PKIDiscretize
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.PrincipalComponents
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.PropositionalToMultiInstance
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.RandomProjection
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.RandomSubset
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.RELAGGS
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.Remove
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.RemoveType
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.RemoveUseless
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.Reorder
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.Standardize
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.StringToNominal
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.SwapValues
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.attribute.Wavelet
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.instance.NonSparseToSparse
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.instance.Normalize
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.instance.Randomize
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.instance.RemoveFolds
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.instance.RemoveMisclassified
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.instance.RemovePercentage
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.instance.RemoveRange
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.instance.RemoveWithValues
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.instance.Resample
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.instance.ReservoirSample
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.instance.SparseToNonSparse
- Returns the revision string.
- getRevision() -
Method in class weka.filters.unsupervised.instance.SubsetByExpression
- Returns the revision string.
- getRevision() -
Method in class weka.gui.sql.DbUtils
- Returns the revision string.
- getRhoa() -
Method in class weka.classifiers.misc.FLR
- Get rhoa
- getRidge() -
Method in class weka.classifiers.functions.LinearRegression
- Get the value of Ridge.
- getRidge() -
Method in class weka.classifiers.functions.Logistic
- Gets the ridge in the log-likelihood.
- getRidge() -
Method in class weka.classifiers.functions.RBFNetwork
- Gets the ridge value.
- getRidge() -
Method in class weka.classifiers.mi.MILR
- Gets the ridge in the log-likelihood.
- getRocAnalysis() -
Method in class weka.associations.Tertius
- Get the value of rocAnalysis.
- getROCArea(Instances) -
Static method in class weka.classifiers.evaluation.ThresholdCurve
- Calculates the area under the ROC curve as the Wilcoxon-Mann-Whitney statistic.
- getROCString() -
Method in class weka.gui.visualize.ThresholdVisualizePanel
- This extracts the ROC area string
- getRoot() -
Method in class weka.core.Trie
- returns the root node of the trie
- getRoot() -
Method in class weka.gui.treevisualizer.Node
- Get the value of root.
- getRootNode() -
Method in class weka.core.xml.XMLDocument
- returns the current root node.
- getRow(int) -
Method in class weka.core.Matrix
- Deprecated. Gets a row of the matrix and returns it as double array.
- getRow() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- the comma-separated list of attribute names that identify a row
- getRowCount() -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.ResultVectorTableModel
- Returns the number of rows of this model.
- getRowCount() -
Method in class weka.experiment.ResultMatrix
- returns the number of rows
- getRowCount() -
Method in class weka.gui.arffviewer.ArffTableModel
- returns the number of rows in the model
- getRowCount() -
Method in class weka.gui.SortedTableModel
- Returns the number of rows in the model.
- getRowCount() -
Method in class weka.gui.sql.ResultSetHelper
- returns the number of rows in the resultset.
- getRowCount() -
Method in class weka.gui.sql.ResultSetTableModel
- returns the number of rows in the model.
- getRowDimension() -
Method in class weka.core.matrix.Matrix
- Get row dimension.
- getRowHidden(int) -
Method in class weka.experiment.ResultMatrix
- returns the hidden status of the row, if the index is valid, otherwise
false
- getRowName(int) -
Method in class weka.experiment.ResultMatrix
- returns the name of the row, if the index is valid, otherwise null.
- getRowNameWidth() -
Method in class weka.experiment.ResultMatrix
- returns the current width for the row names
- getRowOrder() -
Method in class weka.experiment.ResultMatrix
- returns the current order of the rows, null means the default order
- getRowPackedCopy() -
Method in class weka.core.matrix.Matrix
- Make a one-dimensional row packed copy of the internal array.
- getRsource() -
Method in class weka.gui.treevisualizer.Edge
- Get the value of rsource.
- getRtarget() -
Method in class weka.gui.treevisualizer.Edge
- Get the value of rtarget.
- getRuleset() -
Method in class weka.classifiers.rules.JRip
- Get the ruleset generated by Ripper
- getRuleset() -
Method in class weka.classifiers.rules.RuleStats
- Get the ruleset of the stats
- getRulesetSize() -
Method in class weka.classifiers.rules.RuleStats
- Get the size of the ruleset in the stats
- getRuleStats(int) -
Method in class weka.classifiers.rules.JRip
- Get the statistics of the ruleset in the given position
- getRunColumn() -
Method in class weka.experiment.PairedTTester
- Get the value of RunColumn.
- getRunColumn() -
Method in interface weka.experiment.Tester
- Get the value of RunColumn.
- getRunLower() -
Method in class weka.experiment.Experiment
- Get the lower run number for the experiment.
- getRunNumber() -
Method in class weka.gui.beans.BatchClassifierEvent
- Get the run number.
- getRunNumber() -
Method in class weka.gui.beans.TestSetEvent
- Get the run number that this training set belongs to.
- getRunNumber() -
Method in class weka.gui.beans.TrainingSetEvent
- Get the run number that this training set belongs to.
- getRuns() -
Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- getRuns() -
Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
- Returns the number of runs
- getRuns() -
Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
- getRuns() -
Method in class weka.classifiers.bayes.net.search.global.TabuSearch
-
- getRuns() -
Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- getRuns() -
Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
-
- getRuns() -
Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
- getRuns() -
Method in class weka.classifiers.bayes.net.search.local.TabuSearch
-
- getRunUpper() -
Method in class weka.experiment.Experiment
- Get the upper run number for the experiment.
- getS() -
Method in class weka.core.matrix.SingularValueDecomposition
- Return the diagonal matrix of singular values
- getSampleSize() -
Method in class weka.attributeSelection.ReliefFAttributeEval
- Get the number of instances used for estimating attributes
- getSampleSize() -
Method in class weka.classifiers.functions.LeastMedSq
- gets number of samples
- getSampleSize() -
Method in class weka.filters.unsupervised.instance.ReservoirSample
- Gets the subsample size.
- getSampleSizePercent() -
Method in class weka.classifiers.meta.GridSearch
- Gets the sample size for the initial grid search.
- getSampleSizePercent() -
Method in class weka.filters.supervised.instance.Resample
- Gets the subsample size as a percentage of the original set.
- getSampleSizePercent() -
Method in class weka.filters.unsupervised.instance.Resample
- Gets the subsample size as a percentage of the original set.
- getSaveDialogTitle() -
Method in class weka.gui.visualize.PrintableComponent
- returns the title for the save dialog.
- getSaveDialogTitle() -
Method in interface weka.gui.visualize.PrintableHandler
- returns the title for the save dialog
- getSaveDialogTitle() -
Method in class weka.gui.visualize.PrintablePanel
- returns the title for the save dialog
- getSaveInstanceData() -
Method in class weka.classifiers.trees.ADTree
- Gets whether the tree is to save instance data.
- getSaveInstanceData() -
Method in class weka.classifiers.trees.J48
- Check whether instance data is to be saved.
- getSaveInstanceData() -
Method in class weka.classifiers.trees.J48graft
- Check whether instance data is to be saved.
- getSaveInstanceData() -
Method in class weka.clusterers.Cobweb
- Get the value of saveInstances.
- getSaveInstances() -
Method in class weka.classifiers.trees.M5P
- Get whether instance data is being save.
- getSaver() -
Method in class weka.gui.beans.Saver
- Get the saver
- getSaver() -
Method in class weka.gui.ConverterFileChooser
- returns the saver that was chosen by the user, can be null in case the
user aborted the dialog or the open dialog was shown
- getSaverForExtension(String) -
Static method in class weka.core.converters.ConverterUtils
- tries to determine the saver to use for this kind of extension, returns
null if none can be found.
- getSaverForFile(String) -
Static method in class weka.core.converters.ConverterUtils
- tries to determine the saver to use for this kind of file, returns
null if none can be found.
- getSaverForFile(File) -
Static method in class weka.core.converters.ConverterUtils
- tries to determine the saver to use for this kind of file, returns
null if none can be found.
- getScale() -
Method in class weka.filters.unsupervised.attribute.Normalize
- Get the scaling factor.
- getScalingEnabled() -
Method in class weka.gui.visualize.JComponentWriter
- whether scaling is enabled or ignored
- getScoreType() -
Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
- get quality measure to be used in searching for networks.
- getSearch() -
Method in class weka.attributeSelection.CheckAttributeSelection
- Get the current search method
- getSearch() -
Method in class weka.classifiers.meta.AttributeSelectedClassifier
- Gets the search method used
- getSearch() -
Method in class weka.classifiers.rules.DecisionTable
- Gets the current search method
- getSearch() -
Method in class weka.classifiers.rules.DTNB
- Gets the current search method
- getSearch() -
Method in class weka.filters.supervised.attribute.AttributeSelection
- Get the name of the search method
- getSearchAlgorithm() -
Method in class weka.classifiers.bayes.BayesNet
- Get the SearchAlgorithm used as the search algorithm
- getSearchBackwards() -
Method in class weka.attributeSelection.GreedyStepwise
- Get whether to search backwards
- getSearchPath() -
Method in class weka.classifiers.trees.ADTree
- Gets the method of searching the tree for a new insertion.
- getSearchPercent() -
Method in class weka.attributeSelection.RandomSearch
- get the percentage of the search space to consider
- getSearchString() -
Method in class weka.gui.arffviewer.ArffTable
- returns the search string, can be NULL if no search string is set
- getSearchTermination() -
Method in class weka.attributeSelection.BestFirst
- Get the termination criterion (number of non-improving nodes).
- getSearchTermination() -
Method in class weka.attributeSelection.LinearForwardSelection
- Get the termination criterion (number of non-improving nodes).
- getSecondValueIndex() -
Method in class weka.filters.unsupervised.attribute.MergeTwoValues
- Get the index of the second value used.
- getSecondValueIndex() -
Method in class weka.filters.unsupervised.attribute.SwapValues
- Get the index of the second value used.
- getSeed() -
Method in class weka.attributeSelection.CostSensitiveASEvaluation
- Gets the seed for the random number generations.
- getSeed() -
Method in class weka.attributeSelection.GeneticSearch
- get the value of the random number generator's seed
- getSeed() -
Method in class weka.attributeSelection.OneRAttributeEval
- Get the random number seed
- getSeed() -
Method in class weka.attributeSelection.ReliefFAttributeEval
- Get the seed used for randomly sampling instances.
- getSeed() -
Method in class weka.attributeSelection.ScatterSearchV1
- get the value of the random number generator's seed
- getSeed() -
Method in class weka.attributeSelection.SubsetSizeForwardSelection
- Seed for cross validation subset size determination.
- getSeed() -
Method in class weka.attributeSelection.WrapperSubsetEval
- Get the random number seed used for cross validation
- getSeed() -
Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- getSeed() -
Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
- Returns the random seed
- getSeed() -
Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
- getSeed() -
Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- getSeed() -
Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
-
- getSeed() -
Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
- getSeed() -
Method in class weka.classifiers.BVDecompose
- Gets the random number seed
- getSeed() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Gets the random number seed
- getSeed() -
Method in class weka.classifiers.evaluation.EvaluationUtils
- Gets the seed for randomization during cross-validation
- getSeed() -
Method in class weka.classifiers.functions.supportVector.RegOptimizer
- Gets the current seed value for the random number generator
- getSeed() -
Method in class weka.classifiers.functions.VotedPerceptron
- Get the value of Seed.
- getSeed() -
Method in class weka.classifiers.functions.Winnow
- Get the value of Seed.
- getSeed() -
Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel
- Get the seed
- getSeed() -
Method in class weka.classifiers.meta.MultiScheme
- Gets the random number seed.
- getSeed() -
Method in class weka.classifiers.RandomizableClassifier
- Gets the seed for the random number generations
- getSeed() -
Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
- Gets the seed for the random number generations
- getSeed() -
Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
- Gets the seed for the random number generations
- getSeed() -
Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
- Gets the seed for the random number generations
- getSeed() -
Method in class weka.classifiers.rules.ConjunctiveRule
- returns the current seed value for randomizing the data
- getSeed() -
Method in class weka.classifiers.rules.JRip
- Gets the current seed value to use in randomizing the data
- getSeed() -
Method in class weka.classifiers.rules.PART
- Get the value of Seed.
- getSeed() -
Method in class weka.classifiers.rules.Ridor
-
- getSeed() -
Method in class weka.classifiers.trees.J48
- Get the value of Seed.
- getSeed() -
Method in class weka.classifiers.trees.RandomForest
- Gets the seed for the random number generations
- getSeed() -
Method in class weka.classifiers.trees.RandomTree
- Gets the seed for the random number generations
- getSeed() -
Method in class weka.classifiers.trees.REPTree
- Get the value of Seed.
- getSeed() -
Method in class weka.clusterers.RandomizableClusterer
- Gets the seed for the random number generations
- getSeed() -
Method in class weka.clusterers.RandomizableDensityBasedClusterer
- Gets the seed for the random number generations
- getSeed() -
Method in class weka.clusterers.RandomizableSingleClustererEnhancer
- Gets the seed for the random number generations
- getSeed() -
Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
- Returns the seed for random number generator.
- getSeed() -
Method in interface weka.core.Randomizable
- Gets the seed for the random number generations
- getSeed() -
Method in class weka.core.TestInstances
- returns the current seed value
- getSeed() -
Method in class weka.datagenerators.DataGenerator
- Gets the random number seed.
- getSeed() -
Method in class weka.filters.supervised.attribute.ClassOrder
- Get the current randomization seed
- getSeed() -
Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
- Gets the random number seed used for shuffling the dataset.
- getSeed() -
Method in class weka.filters.unsupervised.attribute.PropositionalToMultiInstance
- Returns the current seed value for randomizing the order of the generated
data
- getSeed() -
Method in class weka.filters.unsupervised.attribute.RandomSubset
- Get the seed value for the random number generator.
- getSeed() -
Method in class weka.filters.unsupervised.instance.RemoveFolds
- Gets the random number seed used for shuffling the dataset.
- getSeed() -
Method in class weka.gui.beans.CrossValidationFoldMaker
- Get the currently set seed
- getSeed() -
Method in class weka.gui.beans.TrainTestSplitMaker
- Get the value of the random seed
- getSelected() -
Method in class weka.gui.ensembleLibraryEditor.tree.CheckBoxNode
- getter for the node state
- getSelected() -
Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode
- getter for the node selected state
- getSelectedAttributes() -
Method in class weka.gui.AttributeSelectionPanel
- Gets an array containing the indices of all selected attributes.
- getSelectedBuffer() -
Method in class weka.gui.ResultHistoryPanel
- Gets the buffer associated with the currently
selected item in the list.
- getSelectedName() -
Method in class weka.gui.ResultHistoryPanel
- Get the name of the currently selected item in the list
- getSelectedObject() -
Method in class weka.gui.ResultHistoryPanel
- Gets the object associated with the currently
selected item in the list.
- getSelectedRange() -
Method in class weka.filters.unsupervised.attribute.RELAGGS
- Gets the current range selection.
- getSelectedRange() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Get the value of m_SelectedRange.
- getSelectedTag() -
Method in class weka.core.SelectedTag
- Gets the selected Tag.
- getSelection() -
Method in class weka.core.Range
- Gets an array containing all the selected values, in the order
that they were selected (or ascending order if range inversion is on)
- getSelectionModel() -
Method in class weka.gui.AttributeListPanel
- Gets the selection model used by the table.
- getSelectionModel() -
Method in class weka.gui.AttributeSelectionPanel
- Gets the selection model used by the table.
- getSelectionModel() -
Method in class weka.gui.ResultHistoryPanel
- Gets the selection model used by the results list.
- getSelectionThreshold() -
Method in class weka.attributeSelection.RaceSearch
- Returns the threshold so that the AttributeSelection module can
discard attributes from the ranking.
- getSeparatingThreshold() -
Method in class weka.classifiers.functions.pace.ChisqMixture
- Gets the separating threshold value.
- getSeparatingThreshold() -
Method in class weka.classifiers.functions.pace.NormalMixture
- Gets the separating threshold value.
- getSeperator() -
Method in class weka.gui.HierarchyPropertyParser
- Get the seperator between levels.
- getSequentialAttIndex(int) -
Method in class weka.classifiers.lazy.LBR.Indexes
- Returns the boolean value at the specified index in the Sequential Attribute Indexes array
- getSequentialInstanceIndex(int) -
Method in class weka.classifiers.lazy.LBR.Indexes
- Returns the boolean value at the specified index in the Sequential Instance Indexes array
- getSequentialNumAttributes() -
Method in class weka.classifiers.lazy.LBR.Indexes
- Returns the number of attributes in the Sequential array
- getSequentialNumInstances() -
Method in class weka.classifiers.lazy.LBR.Indexes
- Returns the number of instances in the Sequential array
- getSerializedClassifierFile() -
Method in class weka.filters.supervised.attribute.AddClassification
- Gets the file pointing to a serialized, trained classifier.
- getSERObject() -
Method in class weka.clusterers.OPTICS
- Returns the internal database
- getSetNumber() -
Method in class weka.gui.beans.BatchClassifierEvent
- Get the set number (ie which fold this is)
- getSetNumber() -
Method in class weka.gui.beans.BatchClustererEvent
- Get the set number (ie which fold this is)
- getSetNumber() -
Method in class weka.gui.beans.TestSetEvent
- Get the test set number (eg.
- getSetNumber() -
Method in class weka.gui.beans.TrainingSetEvent
- Get the set number (eg.
- getShape() -
Method in class weka.gui.treevisualizer.Node
- Get the value of shape.
- getShowAverage() -
Method in class weka.experiment.ResultMatrix
- returns whether average per column is displayed or not
- getShowAverage() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns whether the Average is shown by default
- getShowAverage() -
Method in class weka.gui.experiment.OutputFormatDialog
- returns whether the average for each column is displayed.
- getShowGUI() -
Method in class weka.clusterers.OPTICS
- Returns the flag for showing the OPTICS visualizer GUI.
- getShowRules() -
Method in class weka.classifiers.misc.FLR
- Get ShowRules parameter
- getShowStdDev() -
Method in class weka.experiment.ResultMatrix
- returns whether std deviations are displayed or not
- getShowStdDevs() -
Method in class weka.experiment.PairedTTester
- Returns true if standard deviations have been requested.
- getShowStdDevs() -
Method in interface weka.experiment.Tester
- Returns true if standard deviations have been requested.
- getShowStdDevs() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns whether StdDevs are shown by default
- getShrinkage() -
Method in class weka.classifiers.meta.AdditiveRegression
- Get the shrinkage rate.
- getShrinkage() -
Method in class weka.classifiers.meta.LogitBoost
- Get the value of Shrinkage.
- getShrinking() -
Method in class weka.classifiers.functions.LibSVM
- whether to use the shrinking heuristics
- getShuffle() -
Method in class weka.classifiers.rules.Ridor
-
- getSigma() -
Method in class weka.attributeSelection.ReliefFAttributeEval
- Get the value of sigma.
- getSigma() -
Method in class weka.classifiers.BVDecompose
- Get the calculated sigma squared
- getSigma() -
Method in class weka.classifiers.functions.supportVector.Puk
- Gets the sigma value.
- getSignificance(int, int) -
Method in class weka.experiment.ResultMatrix
- returns the significance at the given position, if the position is valid,
otherwise SIGNIFICANCE_ATIE
- getSignificance() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns the default significance
- getSignificanceCount(int, int) -
Method in class weka.experiment.ResultMatrix
- counts the occurrences of the given significance type in the given
column.
- getSignificanceLevel() -
Method in class weka.associations.Apriori
- Get the value of significanceLevel.
- getSignificanceLevel() -
Method in class weka.attributeSelection.RaceSearch
- Get the significance level
- getSignificanceLevel() -
Method in class weka.experiment.PairedTTester
- Get the value of SignificanceLevel.
- getSignificanceLevel() -
Method in interface weka.experiment.Tester
- Get the value of SignificanceLevel.
- getSignificanceWidth() -
Method in class weka.experiment.ResultMatrix
- returns the current width for the significance
- getSilent() -
Method in class weka.core.Check
- Get whether silent mode is turned on
- getSilent() -
Method in class weka.core.Javadoc
- whether output in the console is suppressed
- getSilent() -
Method in class weka.estimators.CheckEstimator
- Get whether silent mode is turned on
- getSimpleStats(int) -
Method in class weka.classifiers.rules.RuleStats
- Get the simple stats of one rule, including 6 parameters:
0: coverage; 1:uncoverage; 2: true positive; 3: true negatives;
4: false positives; 5: false negatives
- getSIndex() -
Method in class weka.gui.visualize.VisualizePanel
- Get the index of the shape selected for creating splits.
- getSingleIndex() -
Method in class weka.core.SingleIndex
- Gets the string representing the selected range of values
- getSingleModeFlag() -
Method in class weka.datagenerators.classifiers.classification.Agrawal
- Return if single mode is set for the given data generator
mode depends on option setting and or generator type.
- getSingleModeFlag() -
Method in class weka.datagenerators.classifiers.classification.BayesNet
- Return if single mode is set for the given data generator
mode depends on option setting and or generator type.
- getSingleModeFlag() -
Method in class weka.datagenerators.classifiers.classification.LED24
- Return if single mode is set for the given data generator
mode depends on option setting and or generator type.
- getSingleModeFlag() -
Method in class weka.datagenerators.classifiers.classification.RandomRBF
- Return if single mode is set for the given data generator
mode depends on option setting and or generator type.
- getSingleModeFlag() -
Method in class weka.datagenerators.classifiers.classification.RDG1
- Gets the single mode flag.
- getSingleModeFlag() -
Method in class weka.datagenerators.classifiers.regression.Expression
- Return if single mode is set for the given data generator
mode depends on option setting and or generator type.
- getSingleModeFlag() -
Method in class weka.datagenerators.classifiers.regression.MexicanHat
- Return if single mode is set for the given data generator
mode depends on option setting and or generator type.
- getSingleModeFlag() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Gets the single mode flag.
- getSingleModeFlag() -
Method in class weka.datagenerators.clusterers.SubspaceCluster
- Gets the single mode flag.
- getSingleModeFlag() -
Method in class weka.datagenerators.DataGenerator
- Return if single mode is set for the given data generator
mode depends on option setting and or generator type.
- getSingleton() -
Static method in class weka.core.logging.Logger
- Returns the singleton instance of the logger.
- getSingleton() -
Static method in class weka.gui.beans.KnowledgeFlowApp
- Return the singleton instance of the KnowledgeFlow
- getSingleton() -
Static method in class weka.gui.Main
- Return the singleton instance of the Main GUI.
- getSingularValues() -
Method in class weka.core.matrix.SingularValueDecomposition
- Return the one-dimensional array of singular values
- getSize() -
Method in class weka.core.Debug.Log
- returns the size of the files
- getSize() -
Method in class weka.gui.ensembleLibraryEditor.ModelList.SortedListModel
-
- getSizePer() -
Method in class weka.classifiers.trees.BFTree
- Get training set size.
- getSizePer() -
Method in class weka.classifiers.trees.SimpleCart
- Get training set size.
- getSizeRuleBaseMax() -
Method in class weka.classifiers.misc.OLM
- Return the number of examples in the maximal rule base.
- getSizeRuleBaseMin() -
Method in class weka.classifiers.misc.OLM
- Return the number of examples in the minimal rule base.
- getSkipIdentical() -
Method in class weka.core.neighboursearch.LinearNNSearch
- Gets whether if identical instances are skipped from the neighbourhood.
- getSlope() -
Method in class weka.classifiers.functions.SimpleLinearRegression
- Returns the slope of the function.
- getSmoothing() -
Method in class weka.classifiers.trees.m5.Rule
- Get whether or not smoothing has been turned on
- getSmoothingParameter() -
Method in class weka.classifiers.bayes.ComplementNaiveBayes
- Gets the smoothing value to be used to avoid zero WordGivenClass
probabilities.
- getSort() -
Method in class weka.classifiers.misc.OLM
- Returns if the instances are sorted prior to building the rule bases.
- getSort() -
Method in class weka.filters.unsupervised.attribute.AddValues
- Gets whether the labels are sorted or not.
- getSortColumn() -
Method in class weka.experiment.PairedTTester
- Returns the column to sort on, -1 means the default sorting.
- getSortColumn() -
Method in interface weka.experiment.Tester
- Returns the column to sort on, -1 means the default sorting.
- getSortColumnName() -
Method in class weka.experiment.PairedTTester
- Returns the name of the column to sort on.
- getSortColumnName() -
Method in interface weka.experiment.Tester
- Returns the name of the column to sort on.
- getSorting() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns the default sorting (empty string means none)
- getSortInitializationRatio() -
Method in class weka.classifiers.meta.EnsembleSelection
- Get the value of sortInitializationRatio.
- getSource() -
Method in class weka.gui.beans.BeanConnection
- returns the source BeanInstance for this connection
- getSource() -
Method in class weka.gui.treevisualizer.Edge
- Get the value of source.
- getSourceCode() -
Method in class weka.classifiers.CheckSource
- Gets the class to test.
- getSourceCode() -
Method in class weka.filters.CheckSource
- Gets the class to test.
- getSparseData() -
Method in class weka.experiment.InstanceQuery
- Gets whether data is to be returned as a set of sparse instances
- getSplitByDataSet() -
Method in class weka.experiment.RemoteExperiment
- Returns true if sub experiments are to be created on the basis of
data set..
- getSplitDim() -
Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
- Gets the splitting dimension.
- getSplitEvaluator() -
Method in class weka.experiment.CrossValidationResultProducer
- Get the SplitEvaluator.
- getSplitEvaluator() -
Method in class weka.experiment.RandomSplitResultProducer
- Get the SplitEvaluator.
- getSplitOnResiduals() -
Method in class weka.classifiers.trees.LMT
- Get the value of splitOnResiduals.
- getSplitPoint() -
Method in class weka.filters.unsupervised.instance.RemoveWithValues
- Get the split point used for numeric selection
- getSplitValue() -
Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
- Gets the splitting value.
- getSquaredError() -
Method in class weka.clusterers.SimpleKMeans
- Gets the squared error for all clusters
- getStamp() -
Method in class weka.core.Debug.Timestamp
- returns the associated date/time
- getStandardDeviation(Instance) -
Method in class weka.classifiers.functions.GaussianProcesses
- Gives the variance of the prediction at the given instance
- getStart() -
Method in class weka.core.Debug.Clock
- returns the start time
- getStartPoint() -
Method in class weka.attributeSelection.RankSearch
- Get the point at which to start evaluating the ranking
- getStartSet() -
Method in class weka.attributeSelection.BestFirst
- Returns a list of attributes (and or attribute ranges) as a String
- getStartSet() -
Method in class weka.attributeSelection.FCBFSearch
- Returns a list of attributes (and or attribute ranges) as a String
- getStartSet() -
Method in class weka.attributeSelection.GeneticSearch
- Returns a list of attributes (and or attribute ranges) as a String
- getStartSet() -
Method in class weka.attributeSelection.GreedyStepwise
- Returns a list of attributes (and or attribute ranges) as a String
- getStartSet() -
Method in class weka.attributeSelection.LinearForwardSelection
- Returns a list of attributes (and or attribute ranges) as a String
- getStartSet() -
Method in class weka.attributeSelection.RandomSearch
- Returns a list of attributes (and or attribute ranges) as a String
- getStartSet() -
Method in class weka.attributeSelection.Ranker
- Returns a list of attributes (and or attribute ranges) as a String
- getStartSet() -
Method in interface weka.attributeSelection.StartSetHandler
- Returns a list of attributes (and or attribute ranges) as a String
- getStaticIcon() -
Method in class weka.gui.beans.BeanVisual
- Returns the static icon
- getStats() -
Method in class weka.core.neighboursearch.PerformanceStats
- Returns a string representation of the statistics.
- getStats() -
Method in class weka.core.neighboursearch.TreePerformanceStats
- Returns a string representation of the statistics.
- getStatus() -
Method in class weka.gui.beans.IncrementalClassifierEvent
- Get the status
- getStatus() -
Method in class weka.gui.beans.InstanceEvent
- Get the status
- getStatusFrequency() -
Method in class weka.gui.beans.IncrementalClassifierEvaluator
- Get how often progress is reported to the status bar.
- getStatusMessage() -
Method in class weka.experiment.TaskStatusInfo
- Get the status message.
- getStatusTable() -
Method in class weka.gui.beans.LogPanel
- The JTable used for the status messages (in case clients
want to attach listeners etc.)
- getStdDev() -
Method in class weka.estimators.KernelEstimator
- Return the standard deviation of this kernel estimator.
- getStdDev() -
Method in class weka.estimators.NormalEstimator
- Return the value of the standard deviation of this normal estimator.
- getStdDev(int, int) -
Method in class weka.experiment.ResultMatrix
- returns the std deviation at the given position, if the position is valid,
otherwise 0
- getStdDevCoordsPerPoint() -
Method in class weka.core.neighboursearch.PerformanceStats
- Returns the standard deviation of coords per point.
- getStdDevIntNodesVisited() -
Method in class weka.core.neighboursearch.TreePerformanceStats
- Returns the standard deviation of internal nodes visited.
- getStdDevLeavesVisited() -
Method in class weka.core.neighboursearch.TreePerformanceStats
- Returns the standard deviation of leaves visited.
- getStdDevPointsVisited() -
Method in class weka.core.neighboursearch.PerformanceStats
- Returns the standard deviation of points visited.
- getStdDevPrec() -
Method in class weka.experiment.ResultMatrix
- returns the current standard deviation precision
- getStdDevPrec() -
Method in class weka.gui.experiment.OutputFormatDialog
- Gets the precision used for printing the std.
- getStdDevPrecision() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns the default precision for the stddevs
- getStddevValue() -
Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
- getStdDevWidth() -
Method in class weka.experiment.ResultMatrix
- returns the current width for the std dev
- getStemmer() -
Method in class weka.core.stemmers.SnowballStemmer
- returns the name of the current stemmer, null if none is set.
- getStemmer() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Returns the current stemming algorithm, null if none is used.
- getStepSize() -
Method in class weka.attributeSelection.RankSearch
- Get the number of attributes to add from the rankining
in each iteration
- getStepSize() -
Method in class weka.experiment.LearningRateResultProducer
- Get the value of StepSize.
- getStop() -
Method in class weka.core.Debug.Clock
- returns the stop time or, if still running, the current time
- getStopwords() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- returns the file used for obtaining the stopwords, if the file represents
a directory then the default ones are used.
- getString(int[]) -
Method in class weka.classifiers.meta.nestedDichotomies.ClassBalancedND
- Returns the list of indices as a string.
- getString(int[]) -
Method in class weka.classifiers.meta.nestedDichotomies.DataNearBalancedND
- Returns the list of indices as a string.
- getString() -
Method in class weka.core.Trie.TrieNode
- returns the full string up to the root
- getStringChecksum(String) -
Static method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel
- Gets a checksum for the string defining this classifier.
- getStringRepresentation() -
Method in class weka.classifiers.EnsembleLibraryModel
- getter for the string representation
- getStringSelection() -
Method in class weka.gui.arffviewer.ArffTable
- returns the selected content in a StringSelection that can be copied to
the clipboard and used in Excel, if nothing is selected the whole table
is copied to the clipboard
- getStroke() -
Method in class weka.gui.visualize.PostscriptGraphics
-
- getStructure() -
Method in class weka.core.converters.AbstractLoader
-
- getStructure() -
Method in class weka.core.converters.ArffLoader.ArffReader
- Returns the header format
- getStructure() -
Method in class weka.core.converters.ArffLoader
- Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure() -
Method in class weka.core.converters.C45Loader
- Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure() -
Method in class weka.core.converters.ConverterUtils.DataSource
- returns the structure of the data.
- getStructure(int) -
Method in class weka.core.converters.ConverterUtils.DataSource
- returns the structure of the data, with the defined class index.
- getStructure() -
Method in class weka.core.converters.CSVLoader
- Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure() -
Method in class weka.core.converters.DatabaseLoader
- Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure() -
Method in class weka.core.converters.LibSVMLoader
- Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure() -
Method in interface weka.core.converters.Loader
- Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure() -
Method in class weka.core.converters.SerializedInstancesLoader
- Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure() -
Method in class weka.core.converters.SVMLightLoader
- Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure() -
Method in class weka.core.converters.TextDirectoryLoader
- Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure() -
Method in class weka.core.converters.XRFFLoader
- Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure() -
Method in class weka.gui.beans.IncrementalClassifierEvent
- Get the instances structure (may be null if this is not
a NEW_BATCH event)
- getStructure() -
Method in class weka.gui.beans.InstanceEvent
- Get the instances structure (may be null if this is not
a FORMAT_AVAILABLE event)
- getSubFlow() -
Method in class weka.gui.beans.MetaBean
-
- getSubmenuTitle() -
Method in interface weka.gui.MainMenuExtension
- Returns the name of the submenu.
- getSubsequenceLength() -
Method in class weka.classifiers.functions.supportVector.StringKernel
- Returns the length of the subsequence
- getSubsetEvaluator() -
Method in class weka.attributeSelection.FilteredSubsetEval
- Get the subset evaluator to use
- getSubsetSizeEvaluator() -
Method in class weka.attributeSelection.SubsetSizeForwardSelection
- Get the subset evaluator used for subset size determination.
- getSubSpaceSize() -
Method in class weka.classifiers.meta.RandomSubSpace
- Gets the size of each subSpace, as a percentage of the training set size.
- getSubtreeRaising() -
Method in class weka.classifiers.trees.J48
- Get the value of subtreeRaising.
- getSubtreeRaising() -
Method in class weka.classifiers.trees.J48graft
- Get the value of subtreeRaising.
- getSuccess() -
Method in class weka.core.CheckGOE
- returns the success of the tests
- getSuccess() -
Method in class weka.core.CheckOptionHandler
- returns the success of the tests
- getSuitableTargets(EventSetDescriptor) -
Method in class weka.gui.beans.MetaBean
- Return a list of input beans capable of receiving the
supplied event
- getSummary() -
Method in class weka.gui.SetInstancesPanel
- Gets the instances summary panel associated with
this panel
- getSumOfCounts() -
Method in class weka.estimators.DiscreteEstimator
- Get the sum of all the counts
- getSumOfWeights() -
Method in class weka.estimators.NormalEstimator
- Return the sum of the weights for this normal estimator.
- getSupport() -
Method in class weka.associations.HotSpot
- Get the minimum support
- getSupportedCursorScrollType() -
Method in class weka.experiment.DatabaseUtils
- Returns the type of scrolling that the cursor supports, -1 if not
supported or not connected.
- getSVMType() -
Method in class weka.classifiers.functions.LibLINEAR
- Gets type of SVM
- getSVMType() -
Method in class weka.classifiers.functions.LibSVM
- Gets type of SVM
- getSymbols() -
Method in class weka.core.mathematicalexpression.Parser
- Returns the current variable - value relation in use.
- getSymbols() -
Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
- Returns the current variable - value relation in use.
- getSystemInfo() -
Method in class weka.core.SystemInfo
- returns a copy of the system info.
- getSystemLookAndFeel() -
Static method in class weka.gui.LookAndFeel
- returns the system LnF classname
- getTabbedPane() -
Method in class weka.gui.arffviewer.ArffViewerMainPanel
- returns the tabbedpane instance
- getTabbedPane() -
Method in class weka.gui.explorer.Explorer
- returns the tabbed pane of the Explorer
- getTable() -
Method in class weka.gui.arffviewer.ArffPanel
- returns the table component
- getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) -
Method in class weka.gui.arffviewer.ArffTableCellRenderer
- Returns the default table cell renderer.
- getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) -
Method in class weka.gui.sql.ResultSetTableCellRenderer
- Returns the default table cell renderer.
- getTableName() -
Method in class weka.core.converters.DatabaseSaver
- Gets the table's name
- getTabs() -
Static method in class weka.gui.explorer.ExplorerDefaults
- returns an array with the classnames of all the additional panels to
display as tabs in the Explorer
- getTabTitle() -
Method in class weka.gui.explorer.AssociationsPanel
- Returns the title for the tab in the Explorer
- getTabTitle() -
Method in class weka.gui.explorer.AttributeSelectionPanel
- Returns the title for the tab in the Explorer
- getTabTitle() -
Method in class weka.gui.explorer.ClassifierPanel
- Returns the title for the tab in the Explorer
- getTabTitle() -
Method in class weka.gui.explorer.ClustererPanel
- Returns the title for the tab in the Explorer
- getTabTitle() -
Method in interface weka.gui.explorer.Explorer.ExplorerPanel
- Returns the title for the tab in the Explorer
- getTabTitle() -
Method in class weka.gui.explorer.PreprocessPanel
- Returns the title for the tab in the Explorer
- getTabTitle() -
Method in class weka.gui.explorer.VisualizePanel
- Returns the title for the tab in the Explorer
- getTabTitleToolTip() -
Method in class weka.gui.explorer.AssociationsPanel
- Returns the tooltip for the tab in the Explorer
- getTabTitleToolTip() -
Method in class weka.gui.explorer.AttributeSelectionPanel
- Returns the tooltip for the tab in the Explorer
- getTabTitleToolTip() -
Method in class weka.gui.explorer.ClassifierPanel
- Returns the tooltip for the tab in the Explorer
- getTabTitleToolTip() -
Method in class weka.gui.explorer.ClustererPanel
- Returns the tooltip for the tab in the Explorer
- getTabTitleToolTip() -
Method in interface weka.gui.explorer.Explorer.ExplorerPanel
- Returns the tooltip for the tab in the Explorer
- getTabTitleToolTip() -
Method in class weka.gui.explorer.PreprocessPanel
- Returns the tooltip for the tab in the Explorer
- getTabTitleToolTip() -
Method in class weka.gui.explorer.VisualizePanel
- Returns the tooltip for the tab in the Explorer
- getTabuList() -
Method in class weka.classifiers.bayes.net.search.global.TabuSearch
-
- getTabuList() -
Method in class weka.classifiers.bayes.net.search.local.TabuSearch
-
- getTags() -
Method in class weka.core.SelectedTag
- Gets the set of all valid Tags.
- getTags() -
Method in class weka.gui.CostMatrixEditor
- Some objects can return tags, but a cost matrix cannot.
- getTags() -
Method in class weka.gui.EnsembleLibraryEditor
- Some objects can return tags, but a cost matrix cannot.
- getTags() -
Method in class weka.gui.GenericArrayEditor
- Returns null as we don't support getting values as tags.
- getTags() -
Method in class weka.gui.GenericObjectEditor
- Returns null as we don't support getting values as tags.
- getTags() -
Method in class weka.gui.SelectedTagEditor
- Gets the list of tags that can be selected from.
- getTags() -
Method in class weka.gui.SimpleDateFormatEditor
- Some objects can return tags, but a date format cannot.
- getTarget() -
Method in class weka.associations.HotSpot
- Get the target index as a string
- getTarget() -
Method in class weka.gui.beans.BeanConnection
- Returns the target BeanInstance for this connection
- getTarget() -
Method in class weka.gui.treevisualizer.Edge
- Get the value of target.
- getTargetClass() -
Method in class weka.classifiers.bayes.DMNBtext.DNBBinary
- Gets the Target Class
- getTargetIndex() -
Method in class weka.associations.HotSpot
- For a nominal target, get the index of the value of interest (1-based)
- getTargetMetaData() -
Method in class weka.core.pmml.MiningSchema
- Get the Target meta data.
- getTaskResult() -
Method in class weka.experiment.TaskStatusInfo
- Get the returnable result of this task.
- getTaskStatus() -
Method in class weka.experiment.RemoteExperimentSubTask
-
- getTaskStatus() -
Method in interface weka.experiment.Task
- Clients should be able to call this method at any time to obtain
information on a current task.
- getTaskStatus() -
Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
- Return status information for this sub task
- getTechnicalInformation() -
Method in class weka.associations.Apriori
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.associations.GeneralizedSequentialPatterns
- Returns TechnicalInformation about the paper related to the algorithm.
- getTechnicalInformation() -
Method in class weka.associations.PredictiveApriori
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.associations.Tertius
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.attributeSelection.CfsSubsetEval
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.attributeSelection.ConsistencySubsetEval
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.attributeSelection.FCBFSearch
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.attributeSelection.GeneticSearch
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.attributeSelection.LinearForwardSelection
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.attributeSelection.RaceSearch
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.attributeSelection.RandomSearch
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.attributeSelection.ReliefFAttributeEval
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.attributeSelection.ScatterSearchV1
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.attributeSelection.SubsetSizeForwardSelection
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.attributeSelection.SVMAttributeEval
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.attributeSelection.SymmetricalUncertAttributeSetEval
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.attributeSelection.WrapperSubsetEval
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.AODE
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.AODEsr
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.BayesianLogisticRegression
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.ComplementNaiveBayes
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.DMNBtext
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.HNB
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.NaiveBayes
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.NaiveBayesMultinomial
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.NaiveBayesSimple
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.NaiveBayesUpdateable
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.net.ADNode
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.net.BIFReader
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.net.search.global.K2
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.net.search.global.TabuSearch
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.net.search.global.TAN
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.net.search.local.K2
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.net.search.local.TabuSearch
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.net.search.local.TAN
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.bayes.WAODE
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.BVDecompose
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.GaussianProcesses
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.LeastMedSq
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.LibLINEAR
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.LibSVM
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.Logistic
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.pace.MixtureDistribution
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.PaceRegression
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.SimpleLogistic
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.SMO
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.SMOreg
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.supportVector.Puk
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.supportVector.RegSMO
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.supportVector.RegSMOImproved
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.supportVector.StringKernel
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.SVMreg
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.VotedPerceptron
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.functions.Winnow
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.lazy.IB1
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.lazy.IBk
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.lazy.KStar
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.lazy.LBR
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.lazy.LWL
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.AdaBoostM1
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.AdditiveRegression
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.Bagging
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.ClassificationViaRegression
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.CVParameterSelection
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.Dagging
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.Decorate
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.END
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.EnsembleSelection
- Return the technical information.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.Grading
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.LogitBoost
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.MetaCost
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.MultiBoostAB
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.nestedDichotomies.ClassBalancedND
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.nestedDichotomies.DataNearBalancedND
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.nestedDichotomies.ND
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.OrdinalClassClassifier
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.RandomSubSpace
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.RotationForest
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.Stacking
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.StackingC
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.meta.Vote
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.mi.CitationKNN
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.mi.MDD
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.mi.MIBoost
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.mi.MIDD
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.mi.MIEMDD
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.mi.MINND
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.mi.MIOptimalBall
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.mi.MISMO
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.mi.MISVM
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.mi.MIWrapper
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.mi.TLD
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.mi.TLDSimple
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.misc.FLR
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.misc.MinMaxExtension
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.misc.monotone.OSDLCore
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.misc.OLM
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.misc.VFI
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.rules.DecisionTable
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.rules.DTNB
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.rules.JRip
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.rules.M5Rules
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.rules.NNge
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.rules.OneR
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.rules.PART
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.rules.Prism
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.rules.Ridor
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.trees.ADTree
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.trees.BFTree
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.trees.FT
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.trees.Id3
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.trees.J48
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.trees.J48graft
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.trees.LADTree
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.trees.LMT
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.trees.m5.M5Base
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.trees.NBTree
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.trees.RandomForest
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.trees.SimpleCart
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.classifiers.trees.UserClassifier
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.clusterers.CLOPE
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.clusterers.Cobweb
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.clusterers.DBScan
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.clusterers.FarthestFirst
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.clusterers.OPTICS
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.clusterers.sIB
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.clusterers.XMeans
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.ChebyshevDistance
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.EuclideanDistance
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.ManhattanDistance
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.neighboursearch.BallTree
- Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
- Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
- Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
- Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
- Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
- Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
- Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.neighboursearch.CoverTree
- Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.neighboursearch.KDTree
- Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
- Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
- Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
- Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
- Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.Optimization
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.core.stemmers.LovinsStemmer
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in interface weka.core.TechnicalInformationHandler
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.datagenerators.classifiers.classification.Agrawal
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.datagenerators.classifiers.classification.LED24
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.experiment.PairedCorrectedTTester
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.filters.supervised.attribute.Discretize
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.filters.supervised.attribute.NominalToBinary
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.filters.supervised.attribute.PLSFilter
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.filters.supervised.instance.SMOTE
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.filters.unsupervised.attribute.KernelFilter
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.filters.unsupervised.attribute.PKIDiscretize
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.filters.unsupervised.attribute.RandomProjection
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.filters.unsupervised.attribute.RELAGGS
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() -
Method in class weka.filters.unsupervised.attribute.Wavelet
- Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTempDir() -
Static method in class weka.core.Debug
- returns the system temp directory
- getTester() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns the display name of the preferred Tester algorithm
- getTestEvaluator() -
Method in class weka.attributeSelection.CheckAttributeSelection
- Gets whether the evaluator is being tested or the search method.
- getTestOrTrain() -
Method in class weka.gui.beans.BatchClustererEvent
- Get whether the set of instances is a test or a training set
- getTestPredictions(Classifier, Instances) -
Method in class weka.classifiers.evaluation.EvaluationUtils
- Generate a bunch of predictions ready for processing, by performing a
evaluation on a test set assuming the classifier is already trained.
- getTestSet() -
Method in class weka.gui.beans.BatchClassifierEvent
- Get the test set
- getTestSet() -
Method in class weka.gui.beans.BatchClustererEvent
- Get the training/test set
- getTestSet() -
Method in class weka.gui.beans.TestSetEvent
- Get the test set instances
- getText() -
Method in class weka.gui.beans.BeanVisual
- Get the visual's label
- getText() -
Method in class weka.gui.beans.TextEvent
- Describe
getText method here.
- getText() -
Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode
- returns the text to be displayed for this node
- getTextTitle() -
Method in class weka.gui.beans.TextEvent
- Describe
getTextTitle method here.
- getTFTransform() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Gets whether if the word frequencies should be transformed into
log(1+fij) where fij is the frequency of word i in document(instance) j.
- getThreshold() -
Method in class weka.attributeSelection.FCBFSearch
- Returns the threshold so that the AttributeSelection module can
discard attributes from the ranking.
- getThreshold() -
Method in class weka.attributeSelection.GreedyStepwise
- Returns the threshold so that the AttributeSelection module can
discard attributes from the ranking.
- getThreshold() -
Method in class weka.attributeSelection.RaceSearch
- Get the threshold
- getThreshold() -
Method in interface weka.attributeSelection.RankedOutputSearch
- Gets the threshold by which attributes can be discarded.
- getThreshold() -
Method in class weka.attributeSelection.Ranker
- Returns the threshold so that the AttributeSelection module can
discard attributes from the ranking.
- getThreshold() -
Method in class weka.attributeSelection.WrapperSubsetEval
- Get the value of the threshold
- getThreshold() -
Method in class weka.classifiers.bayes.BayesianLogisticRegression
- Return the threshold being used.
- getThreshold() -
Method in class weka.classifiers.functions.PaceRegression
- Gets the threshold for olsc estimator
- getThreshold() -
Method in class weka.classifiers.functions.Winnow
- Get the value of Threshold.
- getThreshold() -
Method in class weka.filters.unsupervised.instance.RemoveMisclassified
- Gets the threshold for the max error when predicting a numeric class.
- getThresholdInstance(Instances, double) -
Static method in class weka.classifiers.evaluation.ThresholdCurve
- Gets the index of the instance with the closest threshold value to the
desired target
- getTimestamp() -
Static method in class weka.experiment.CrossValidationResultProducer
- Gets a Double representing the current date and time.
- getTimestamp() -
Static method in class weka.experiment.RandomSplitResultProducer
- Gets a Double representing the current date and time.
- getTitle() -
Method in class weka.gui.arffviewer.ArffPanel
- returns the title for the Tab, i.e.
- getToken(StreamTokenizer) -
Static method in class weka.core.converters.ConverterUtils
- Gets token.
- getTokenizer() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Returns the current tokenizer algorithm.
- getTolerance() -
Method in class weka.classifiers.bayes.BayesianLogisticRegression
- Get the tolerance value
- getTolerance() -
Method in class weka.classifiers.functions.supportVector.RegSMOImproved
- returns the current tolerance
- getToleranceParameter() -
Method in class weka.attributeSelection.SVMAttributeEval
- Get the value of T used with SMO
- getToleranceParameter() -
Method in class weka.classifiers.functions.SMO
- Get the value of tolerance parameter.
- getToleranceParameter() -
Method in class weka.classifiers.functions.SMOreg
- Get the value of tolerance parameter.
- getToleranceParameter() -
Method in class weka.classifiers.mi.MISMO
- Get the value of tolerance parameter.
- getToolTipText() -
Method in class weka.experiment.PairedCorrectedTTester
- returns a string that is displayed as tooltip on the "perform test"
button in the experimenter
- getToolTipText() -
Method in class weka.experiment.PairedTTester
- returns a string that is displayed as tooltip on the "perform test"
button in the experimenter
- getToolTipText() -
Method in interface weka.experiment.Tester
- returns a string that is displayed as tooltip on the "perform test"
button in the experimenter
- getToolTipText(MouseEvent) -
Method in class weka.gui.AttributeVisualizationPanel
- Returns "<nominal value> [<nominal value count>]"
if displaying a bar plot and mouse is on some bar.
- getToolTipText() -
Method in class weka.gui.ensembleLibraryEditor.tree.CheckBoxNode
- getter for the tooltip text
- getToolTipText() -
Method in class weka.gui.ensembleLibraryEditor.tree.DefaultNode
- getter for the tooltip text
- getToolTipText() -
Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode
- getter for the tooltip text
- getToolTipText() -
Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode
- getter for the tooltip text
- getToolTipText() -
Method in class weka.gui.ensembleLibraryEditor.tree.PropertyNode
- getter for the tooltip text
- getToolTipText(PrintableComponent) -
Static method in class weka.gui.visualize.PrintableComponent
- Returns a tooltip only if the user wants it.
- getTop() -
Method in class weka.gui.treevisualizer.Node
- Get the value of top.
- getTotalCoordsPerPoint() -
Method in class weka.core.neighboursearch.PerformanceStats
- Returns the total sum of coords per point.
- getTotalCount(Node, int) -
Static method in class weka.gui.treevisualizer.Node
- Recursively finds the total number of nodes there are.
- getTotalGCount(Node, int) -
Static method in class weka.gui.treevisualizer.Node
- Recursively finds the total number of groups of siblings there are.
- getTotalHeight(Node, int) -
Static method in class weka.gui.treevisualizer.Node
- Recursively finds the total number of levels there are.
- getTotalIntNodesVisited() -
Method in class weka.core.neighboursearch.TreePerformanceStats
- Returns the total number of internal nodes visited.
- getTotalLeavesVisited() -
Method in class weka.core.neighboursearch.TreePerformanceStats
- Returns the total number of leaves visited.
- getTotalPointsVisited() -
Method in class weka.core.neighboursearch.PerformanceStats
- Returns the total number of points visited.
- getToYear() -
Static method in class weka.core.Copyright
- returns the end year of the copyright (i.e., current year)
- getTPRate() -
Method in class weka.associations.tertius.Rule
- Get the rate of True Positive instances of this rule.
- getTrainingSet() -
Method in class weka.gui.beans.TrainingSetEvent
- Get the training instances
- getTrainingTime() -
Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getTrainIterations() -
Method in class weka.classifiers.BVDecompose
- Gets the maximum number of boost iterations
- getTrainPercent() -
Method in class weka.experiment.RandomSplitResultProducer
- Get the value of TrainPercent.
- getTrainPercent() -
Method in class weka.gui.beans.TrainTestSplitMaker
- Get the percentage of the data that will be in the training portion of
the split
- getTrainPercentage() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- returns the training percentage in case of splits
- getTrainPoolSize() -
Method in class weka.classifiers.BVDecompose
- Get the number of instances in the training pool.
- getTrainSet() -
Method in class weka.gui.beans.BatchClassifierEvent
- Get the train set
- getTrainSize() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Get the training size
- getTrainTestPredictions(Classifier, Instances, Instances) -
Method in class weka.classifiers.evaluation.EvaluationUtils
- Generate a bunch of predictions ready for processing, by performing a
evaluation on a test set after training on the given training set.
- getTransform() -
Method in class weka.gui.visualize.PostscriptGraphics
-
- getTransformAllValues() -
Method in class weka.filters.supervised.attribute.NominalToBinary
- Gets if all nominal values are turned into new attributes, not only if
there are more than 2.
- getTransformAllValues() -
Method in class weka.filters.unsupervised.attribute.NominalToBinary
- Gets if all nominal values are turned into new attributes, not only if
there are more than 2.
- getTransformationDictionary() -
Method in class weka.core.pmml.MiningSchema
- Get the transformation dictionary .
- getTransformBackToOriginal() -
Method in class weka.attributeSelection.PrincipalComponents
- Gets whether the data is to be transformed back to the original
space.
- getTransformMethod() -
Method in class weka.classifiers.mi.SimpleMI
- Get the method used in transformation.
- getTranslation() -
Method in class weka.filters.unsupervised.attribute.Normalize
- Get the translation.
- getTraversal() -
Method in class weka.classifiers.meta.GridSearch
- Gets the type of traversal for the grid.
- getTree() -
Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode
- returns the current tree
- getTreeCellEditorComponent(JTree, Object, boolean, boolean, boolean, int) -
Method in class weka.gui.ensembleLibraryEditor.tree.ModelTreeNodeEditor
- This method uses the ModelTreeNodeRenderer class to get the individual
editors and then registers this classes editing event listeners with
them
- getTreeCellRendererComponent(JTree, Object, boolean, boolean, boolean, int, boolean) -
Method in class weka.gui.ensembleLibraryEditor.tree.ModelTreeNodeRenderer
- This is the method of this class that is responsible for figuring out how
to display each of the tree nodes.
- getTreshold() -
Method in class weka.attributeSelection.ScatterSearchV1
- Get the treshold
- getTrimingThreshold() -
Method in class weka.classifiers.functions.pace.ChisqMixture
- Gets the triming thresholding value.
- getTrimingThreshold() -
Method in class weka.classifiers.functions.pace.NormalMixture
- Gets the triming thresholding value.
- getTrueNegative() -
Method in class weka.classifiers.evaluation.TwoClassStats
- Gets the number of negative instances predicted as negative
- getTruePositive() -
Method in class weka.classifiers.evaluation.TwoClassStats
- Gets the number of positive instances predicted as positive
- getTruePositiveRate() -
Method in class weka.classifiers.evaluation.TwoClassStats
- Calculate the true positive rate.
- getTStart() -
Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
- getTStart() -
Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
- getTuneInterpolationParameter() -
Method in class weka.classifiers.misc.monotone.OSDLCore
- Returns whether the interpolation parameter is to be tuned based on the
bounds.
- getTwoClassStats(int) -
Method in class weka.classifiers.evaluation.ConfusionMatrix
- Gets the performance with respect to one of the classes
as a TwoClassStats object.
- getTwoValue() -
Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode
- figures out the class of this node's object and returns a new instance of
it initialized with the value of "2".
- getType() -
Method in class weka.associations.tertius.IndividualLiteral
-
- getType() -
Method in class weka.associations.tertius.LiteralSet
- Give the type of properties in this set (individual or part properties).
- getType() -
Method in class weka.attributeSelection.LinearForwardSelection
- Get the type
- getType() -
Method in class weka.attributeSelection.SubsetSizeForwardSelection
- Get the type
- getType() -
Method in class weka.classifiers.functions.neural.NeuralConnection
-
- getType() -
Method in class weka.core.AttributeLocator
- returns the type of attribute that is located
- getType(RevisionHandler) -
Static method in class weka.core.RevisionUtils
- Determines the type of a (sanitized) revision string returned by the
RevisionHandler.
- getType(String) -
Static method in class weka.core.RevisionUtils
- Determines the type of a (sanitized) revision string.
- getType() -
Method in class weka.core.TechnicalInformation
- returns the type of this technical information
- getType(int) -
Method in class weka.gui.arffviewer.ArffSortedTableModel
- returns the TYPE of the attribute at the given position
- getType(int, int) -
Method in class weka.gui.arffviewer.ArffSortedTableModel
- returns the TYPE of the attribute at the given position
- getType(int) -
Method in class weka.gui.arffviewer.ArffTableModel
- returns the TYPE of the attribute at the given position
- getType(int, int) -
Method in class weka.gui.arffviewer.ArffTableModel
- returns the TYPE of the attribute at the given position
- getType() -
Method in class weka.gui.sql.event.ConnectionEvent
- returns the type of this event, CONNECT or DISCONNECT
- getU() -
Method in class weka.core.Matrix
- Deprecated. Returns the U part of the matrix.
- getU() -
Method in class weka.core.matrix.LUDecomposition
- Return upper triangular factor
- getU() -
Method in class weka.core.matrix.SingularValueDecomposition
- Return the left singular vectors
- getUID(String) -
Static method in class weka.core.SerializationHelper
- reads or creates the serialVersionUID for the given class
- getUID(Class) -
Static method in class weka.core.SerializationHelper
- reads or creates the serialVersionUID for the given class
- getUnpruned() -
Method in class weka.classifiers.rules.PART
- Get the value of unpruned.
- getUnpruned() -
Method in class weka.classifiers.trees.J48
- Get the value of unpruned.
- getUnpruned() -
Method in class weka.classifiers.trees.J48graft
- Get the value of unpruned.
- getUnpruned() -
Method in class weka.classifiers.trees.m5.M5Base
- Get whether unpruned tree/rules are being generated
- getUnpruned() -
Method in class weka.classifiers.trees.m5.Rule
- Get whether unpruned tree/rules are being generated
- getUpdateCount() -
Method in class weka.core.converters.DatabaseConnection
- Dewtermines if the current query retrieves a result set or updates a table
- getUpdateIncrementalClassifier() -
Method in class weka.gui.beans.Classifier
- Get whether an incremental classifier will be updated on the
incoming instance stream.
- getUpper() -
Method in class weka.gui.experiment.RunNumberPanel
- Gets the current upper run number.
- getUpperBound() -
Method in class weka.classifiers.misc.monotone.OSDLCore
- Returns the current value of the upper bound for the interpolation
parameter.
- getUpperBoundMinSupport() -
Method in class weka.associations.Apriori
- Get the value of upperBoundMinSupport.
- getUpperCase() -
Method in class weka.core.converters.DatabaseConnection
- Check if the property checkUpperCaseNames in the DatabaseUtils file is
set to true or false.
- getUpperNumericBound() -
Method in class weka.core.Attribute
- Returns the upper bound of a numeric attribute.
- getUpperSize() -
Method in class weka.experiment.LearningRateResultProducer
- Get the value of UpperSize.
- getUrl() -
Method in interface weka.core.converters.DatabaseConverter
-
- getUrl() -
Method in class weka.core.converters.DatabaseLoader
- Gets the URL
- getUrl() -
Method in class weka.core.converters.DatabaseSaver
- Gets the database URL
- getURL() -
Static method in class weka.core.Copyright
- returns the URL of the owner
- getURL() -
Method in class weka.gui.DatabaseConnectionDialog
- Returns URL from dialog
- getURL(String, String) -
Static method in class weka.gui.Loader
- returns a URL for the given filename, can be NULL if it fails
- getURL(String) -
Method in class weka.gui.Loader
- returns a URL for the given filename, can be NULL if it fails
- getURL() -
Method in class weka.gui.sql.ConnectionPanel
- returns the current URL.
- getURL() -
Method in class weka.gui.sql.event.ResultChangedEvent
- returns the database URL that produced the table model
- getURL() -
Method in class weka.gui.sql.ResultSetTable
- returns the database URL that produced the table model
- getURL() -
Method in class weka.gui.sql.SqlViewer
- returns the database URL from the currently active tab in the ResultPanel,
otherwise an empty string.
- getURL() -
Method in class weka.gui.sql.SqlViewerDialog
- returns the chosen URL, if any
- getURLFileLoaders() -
Static method in class weka.core.converters.ConverterUtils
- returns a vector with the classnames of all the URL file loaders.
- getURLLoaderForExtension(String) -
Static method in class weka.core.converters.ConverterUtils
- tries to determine the URL loader to use for this kind of extension, returns
null if none can be found.
- getURLLoaderForFile(String) -
Static method in class weka.core.converters.ConverterUtils
- tries to determine the URL loader to use for this kind of file, returns
null if none can be found.
- getURLLoaderForFile(File) -
Static method in class weka.core.converters.ConverterUtils
- tries to determine the URL loader to use for this kind of file, returns
null if none can be found.
- getUsageType() -
Method in class weka.core.pmml.MiningFieldMetaInfo
- Get the usage type of this field.
- getUseADTree() -
Method in class weka.classifiers.bayes.BayesNet
- Method declaration
- getUseAIC() -
Method in class weka.classifiers.functions.SimpleLogistic
- Get the value of useAIC.
- getUseAIC() -
Method in class weka.classifiers.trees.FT
- Get the value of useAIC.
- getUseAIC() -
Method in class weka.classifiers.trees.LMT
- Get the value of useAIC.
- getUseAIC() -
Method in class weka.classifiers.trees.lmt.LogisticBase
- Get the value of useAIC.
- getUseArcReversal() -
Method in class weka.classifiers.bayes.net.search.global.HillClimber
- get use the arc reversal operation
- getUseArcReversal() -
Method in class weka.classifiers.bayes.net.search.local.HillClimber
- get use the arc reversal operation
- getUseBetterEncoding() -
Method in class weka.filters.supervised.attribute.Discretize
- Gets whether better encoding is to be used for MDL.
- getUseClassification() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- whether classification or regression is used
- getUseCpuTime() -
Method in class weka.core.Debug.Clock
- returns whether the use of CPU is time is enabled/disabled (regardless
whether the system supports it or not)
- getUseCrossOver() -
Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- getUseCrossOver() -
Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- getUseCrossValidation() -
Method in class weka.classifiers.functions.SimpleLogistic
- Get the value of useCrossValidation.
- getUseCustomDimensions() -
Method in class weka.gui.visualize.JComponentWriter
- whether custom dimensions are to used for the size of the image
- getUsedAttributes() -
Method in class weka.classifiers.trees.lmt.LogisticBase
- Returns an array of the indices of the attributes used in the logistic model.
- getUseEqualFrequency() -
Method in class weka.classifiers.meta.RegressionByDiscretization
- Get the value of UseEqualFrequency.
- getUseEqualFrequency() -
Method in class weka.filters.unsupervised.attribute.Discretize
- Get the value of UseEqualFrequency.
- getUseEqualFrequency() -
Method in class weka.filters.unsupervised.attribute.PKIDiscretize
- Get the value of UseEqualFrequency.
- getUseErrorRate() -
Method in class weka.classifiers.trees.BFTree
- Get if use error rate in internal cross-validation.
- getUseGini() -
Method in class weka.classifiers.trees.BFTree
- Get if use Gini index as splitting criterion.
- getUseGUI() -
Method in class weka.core.Memory
- whether to display a dialog in case of a problem (= TRUE) or just print
on stderr (= FALSE)
- getUseIBk() -
Method in class weka.classifiers.rules.DecisionTable
- Gets whether IBk is being used instead of the majority class
- getUseKDTree() -
Method in class weka.clusterers.XMeans
- Gets whether the KDTree is used or not.
- getUseKernelEstimator() -
Method in class weka.classifiers.bayes.NaiveBayes
- Gets if kernel estimator is being used.
- getUseKononenko() -
Method in class weka.filters.supervised.attribute.Discretize
- Gets whether Kononenko's MDL criterion is to be used.
- getUseLaplace() -
Method in class weka.classifiers.bayes.AODEsr
- Gets if laplace correction is being used.
- getUseLaplace() -
Method in class weka.classifiers.trees.J48
- Get the value of useLaplace.
- getUseLaplace() -
Method in class weka.classifiers.trees.J48graft
- Get the value of useLaplace.
- getUseLeastValues() -
Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
- Gets whether to use values with least or most instances
- getUseLowerOrder() -
Method in class weka.classifiers.functions.supportVector.PolyKernel
- Gets whether lower-order terms are used.
- getUseMEstimates() -
Method in class weka.classifiers.bayes.AODE
- Gets if m-estimaces is being used.
- getUseMissing() -
Method in class weka.filters.unsupervised.attribute.AddNoise
- Gets the flag if missing values are treated as extra values.
- getUseMutation() -
Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- getUseMutation() -
Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- getUseNormalization() -
Method in class weka.classifiers.functions.supportVector.StringKernel
- Returns whether normalization is used.
- getUseOneSE() -
Method in class weka.classifiers.trees.BFTree
- Get if use the 1SE rule to choose final model.
- getUseOneSE() -
Method in class weka.classifiers.trees.SimpleCart
- Get if use the 1SE rule to choose final model.
- getUsePairwiseCoupling() -
Method in class weka.classifiers.meta.MultiClassClassifier
- Gets whether to use pairwise coupling with 1-vs-1
classification to improve probability estimates.
- getUseProb() -
Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
- getUsePropertyIterator() -
Method in class weka.experiment.Experiment
- Gets whether the custom property iterator should be used.
- getUsePrune() -
Method in class weka.classifiers.trees.SimpleCart
- Get if use minimal cost-complexity pruning.
- getUsePruning() -
Method in class weka.classifiers.rules.JRip
- Gets whether pruning is performed
- getUser() -
Method in interface weka.core.converters.DatabaseConverter
-
- getUser() -
Method in class weka.core.converters.DatabaseLoader
- Gets the user name
- getUser() -
Method in class weka.core.converters.DatabaseSaver
- Gets the database user
- getUser() -
Method in class weka.gui.sql.ConnectionPanel
- returns the current User.
- getUser() -
Method in class weka.gui.sql.event.ResultChangedEvent
- returns the user that produced the table model
- getUser() -
Method in class weka.gui.sql.ResultSetTable
- returns the user that produced the table model
- getUser() -
Method in class weka.gui.sql.SqlViewer
- returns the user from the currently active tab in the ResultPanel,
otherwise an empty string.
- getUser() -
Method in class weka.gui.sql.SqlViewerDialog
- returns the chosen user, if any
- getUseRelativePath() -
Method in class weka.core.converters.AbstractFileLoader
- Gets whether relative paths are to be used
- getUseRelativePath() -
Method in class weka.core.converters.AbstractFileSaver
- Gets whether relative paths are to be used
- getUseRelativePath() -
Method in interface weka.core.converters.FileSourcedConverter
- Gets whether relative paths are to be used
- getUseRelativePath() -
Method in class weka.gui.beans.SerializedModelSaver
- Get whether to use relative paths for the directory.
- getUseRelativePaths() -
Static method in class weka.gui.experiment.ExperimenterDefaults
- whether relative paths are used by default
- getUseResampling() -
Method in class weka.classifiers.meta.AdaBoostM1
- Get whether resampling is turned on
- getUseResampling() -
Method in class weka.classifiers.meta.LogitBoost
- Get whether resampling is turned on
- getUseResampling() -
Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
- Get whether resampling is turned on
- getUsername() -
Method in class weka.experiment.DatabaseUtils
- Get the database username.
- getUsername() -
Method in class weka.gui.DatabaseConnectionDialog
- Returns Username from dialog
- getUserOptions() -
Method in class weka.classifiers.functions.supportVector.KernelEvaluation
- returns the options the user supplied for the kernel
- getUserOptions() -
Method in class weka.core.CheckOptionHandler
- Gets the current user-supplied options (creates a copy)
- getUseStars() -
Method in class weka.core.Javadoc
- whether the Javadoc is prefixed with "*"
- getUseStoplist() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Gets whether if the words on the stoplist are to be ignored (The stoplist
is in weka.core.StopWords).
- getUseSupervisedDiscretization() -
Method in class weka.classifiers.bayes.NaiveBayes
- Get whether supervised discretization is to be used.
- getUseTournamentSelection() -
Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- getUseTournamentSelection() -
Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- getUseTraining() -
Method in class weka.attributeSelection.ClassifierSubsetEval
- Get if training data is to be used instead of hold out/test data
- getUseTree() -
Method in class weka.classifiers.trees.m5.Rule
- get whether an m5 tree is being used rather than rules
- getUseUnsmoothed() -
Method in class weka.classifiers.trees.m5.M5Base
- Get whether or not smoothing is being used
- getUsingCutOff() -
Method in class weka.classifiers.mi.TLD
- Returns whether an empirical cutoff is used
- getUsingCutOff() -
Method in class weka.classifiers.mi.TLDSimple
- Returns whether an empirical cutoff is used
- getV() -
Method in class weka.core.matrix.EigenvalueDecomposition
- Return the eigenvector matrix
- getV() -
Method in class weka.core.matrix.SingularValueDecomposition
- Return the right singular vectors
- getValidating() -
Method in class weka.core.xml.XMLDocument
- returns whether a validating parser is used.
- getValidating() -
Method in class weka.core.xml.XMLOptions
- returns whether a validating parser is used.
- getValidationChunkSize() -
Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
- Get the validation chunk size
- getValidationPredictions() -
Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel
- getter for validation predictions
- getValidationRatio() -
Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel
- get validationRatio
- getValidationRatio() -
Method in class weka.classifiers.meta.EnsembleSelection
- Get the value of validationRatio.
- getValidationSetSize() -
Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getValidationThreshold() -
Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getValue(int) -
Method in class weka.classifiers.misc.monotone.Coordinates
- Get the value of the attribute with index
index,
ignoring the class attribute.
- getValue() -
Method in class weka.classifiers.trees.adtree.PredictionNode
- Gets the prediction value of the node.
- getValue() -
Method in class weka.core.pmml.FieldMetaInfo.Value
-
- getValue(Object, PropertyPath.Path) -
Static method in class weka.core.PropertyPath
- returns the value specified by the given path from the object
- getValue(Object, String) -
Static method in class weka.core.PropertyPath
- returns the value specified by the given path from the object
- getValue(TechnicalInformation.Field) -
Method in class weka.core.TechnicalInformation
- returns the value associated with the given field, or empty if field is
not currently stored.
- getValue(Instance, int) -
Static method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
- Returns either a String object for nominal attributes or a Double for numeric
ones.
- getValue() -
Method in class weka.gui.CostMatrixEditor
- Gets the cost matrix that is being edited.
- getValue() -
Method in class weka.gui.EnsembleLibraryEditor
- Gets the cost matrix that is being edited.
- getValue() -
Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode
- getter for this node's object
- getValue() -
Method in class weka.gui.GenericArrayEditor
- Gets the current object array.
- getValue() -
Method in class weka.gui.GenericObjectEditor
- Gets the current Object.
- getValue() -
Method in class weka.gui.HierarchyPropertyParser
- Get the value of current node
- getValue() -
Method in class weka.gui.SimpleDateFormatEditor
- Gets the date format that is being edited.
- getValueAt(int, int) -
Method in class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.ResultVectorTableModel
- Returns the value for the JTable for a given position.
- getValueAt(int, int) -
Method in class weka.gui.arffviewer.ArffTableModel
- returns the value for the cell at columnindex and rowIndex
- getValueAt(int, int) -
Method in class weka.gui.SortedTableModel
- Returns the value for the cell at columnIndex and rowIndex.
- getValueAt(int, int) -
Method in class weka.gui.sql.ResultSetTableModel
- returns the value for the cell at columnindex and rowIndex.
- getValueIndices() -
Method in class weka.filters.unsupervised.attribute.MakeIndicator
- Get the indices of the indicator values.
- getValueName(int, int) -
Method in class weka.classifiers.bayes.net.EditableBayesNet
- returns value of a node
- getValueRange() -
Method in class weka.filters.unsupervised.attribute.MakeIndicator
- Get the range containing the indicator values.
- getValues(String) -
Method in class weka.classifiers.bayes.net.EditableBayesNet
- returns array of values of a node
- getValues(int) -
Method in class weka.classifiers.bayes.net.EditableBayesNet
- returns array of values of a node
- getValues() -
Method in class weka.classifiers.meta.GridSearch
- returns the parameter pair that was found to work best
- getValues(double[]) -
Method in class weka.classifiers.misc.monotone.Coordinates
- Get the values of the coordinates.
- getValues() -
Method in class weka.core.pmml.TargetMetaInfo
- Get the values (discrete case only) for this Target.
- getValues() -
Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode
- This method iterates over all of the child nodes of this
GenericObjectNode and requests the verious sets of values that the
user has presumably specified.
- getValues() -
Method in class weka.gui.visualize.VisualizePanelEvent
-
- getValuesList() -
Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
- returns the range for each attribute as string
- getValuesOutput() -
Method in class weka.associations.Tertius
- Get the value of valuesOutput.
- getVarbValues() -
Method in class weka.core.Optimization
- Get the variable values.
- getVariableNames() -
Static method in class weka.core.Environment
- Get the names of the variables (keys) stored in the
internal map.
- getVariableValue(String) -
Static method in class weka.core.Environment
- Get the value for a particular variable.
- getVariance() -
Method in class weka.classifiers.BVDecompose
- Get the calculated variance
- getVarianceCovered() -
Method in class weka.attributeSelection.PrincipalComponents
- Gets the proportion of total variance to account for when
retaining principal components
- getVarianceCovered() -
Method in class weka.filters.unsupervised.attribute.PrincipalComponents
- Gets the proportion of total variance to account for when
retaining principal components.
- getVectorOfAttrTypes() -
Method in class weka.estimators.CheckEstimator.AttrTypes
-
- getVerbose() -
Method in class weka.associations.Apriori
- Gets whether algorithm is run in verbose mode
- getVerbose() -
Method in class weka.attributeSelection.ExhaustiveSearch
- get whether or not output is verbose
- getVerbose() -
Method in class weka.attributeSelection.LinearForwardSelection
- Get whether output is to be verbose
- getVerbose() -
Method in class weka.attributeSelection.RandomSearch
- get whether or not output is verbose
- getVerbose() -
Method in class weka.attributeSelection.SubsetSizeForwardSelection
- Get whether output is to be verbose
- getVerbose() -
Method in class weka.classifiers.meta.Dagging
- Gets the verbose state
- getVerboseOutput() -
Method in class weka.classifiers.meta.EnsembleSelection
- Get the value of verboseOutput.
- getVersion() -
Method in class weka.core.xml.XMLSerialization
- returns the WEKA version with which the serialized object was created
- getVisible() -
Method in class weka.gui.treevisualizer.Node
- Get the value of visible.
- getVisibleColCount() -
Method in class weka.experiment.ResultMatrix
- returns the number of visible columns
- getVisibleRowCount() -
Method in class weka.experiment.ResultMatrix
- returns the number of visible rows
- getVisual() -
Method in class weka.gui.beans.AbstractDataSink
- Get the visual being used by this data source.
- getVisual() -
Method in class weka.gui.beans.AbstractDataSource
- Get the visual being used by this data source.
- getVisual() -
Method in class weka.gui.beans.AbstractEvaluator
- Get the visual
- getVisual() -
Method in class weka.gui.beans.AbstractTestSetProducer
- Get the visual for this bean
- getVisual() -
Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
- Get the visual for this bean
- getVisual() -
Method in class weka.gui.beans.AbstractTrainingSetProducer
- Get the visual for this bean
- getVisual() -
Method in class weka.gui.beans.Associator
- Gets the visual appearance of this wrapper bean
- getVisual() -
Method in class weka.gui.beans.ClassAssigner
-
- getVisual() -
Method in class weka.gui.beans.Classifier
- Gets the visual appearance of this wrapper bean
- getVisual() -
Method in class weka.gui.beans.ClassValuePicker
-
- getVisual() -
Method in class weka.gui.beans.Clusterer
- Gets the visual appearance of this wrapper bean
- getVisual() -
Method in class weka.gui.beans.DataVisualizer
- Return the visual appearance of this bean
- getVisual() -
Method in class weka.gui.beans.Filter
- Get the visual appearance of this bean
- getVisual() -
Method in class weka.gui.beans.GraphViewer
- Get the visual appearance of this bean
- getVisual() -
Method in class weka.gui.beans.InstanceStreamToBatchMaker
- Gets the visual appearance of this wrapper bean
- getVisual() -
Method in class weka.gui.beans.MetaBean
- Gets the visual appearance of this wrapper bean
- getVisual() -
Method in class weka.gui.beans.ModelPerformanceChart
- Return the visual appearance of this bean
- getVisual() -
Method in class weka.gui.beans.PredictionAppender
- Get the visual being used by this data source.
- getVisual() -
Method in class weka.gui.beans.SerializedModelSaver
- Get the visual being used by this data source.
- getVisual() -
Method in class weka.gui.beans.StripChart
- Get the visual appearance of this bean
- getVisual() -
Method in class weka.gui.beans.TextViewer
- Get the visual appearance of this bean
- getVisual() -
Method in interface weka.gui.beans.Visible
- Get the visual representation
- getVisualizeMenuItem(FastVector, Attribute) -
Method in interface weka.gui.visualize.plugins.VisualizePlugin
- Get a JMenu or JMenuItem which contain action listeners
that perform the visualization, using some but not
necessarily all of the data.
- getVoteFlag() -
Method in class weka.datagenerators.classifiers.classification.RDG1
- Gets the vote flag.
- getWBias() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Get the calculated bias according to the Webb definition
- getWeight() -
Method in class weka.classifiers.bayes.AODE
- Gets the weight used in m-estimate
- getWeightByConfidence() -
Method in class weka.classifiers.misc.VFI
- Get whether feature intervals are being weighted by confidence
- getWeightByDistance() -
Method in class weka.attributeSelection.ReliefFAttributeEval
- Get whether nearest neighbours are being weighted by distance
- getWeighted() -
Method in class weka.classifiers.misc.monotone.OSDLCore
- Returns if the weighted version is in effect.
- getWeightingKernel() -
Method in class weka.classifiers.lazy.LWL
- Gets the kernel weighting method to use.
- getWeightMethod() -
Method in class weka.classifiers.mi.MIWrapper
- Returns the current weighting method for instances.
- getWeightMethod() -
Method in class weka.filters.unsupervised.attribute.MultiInstanceToPropositional
- Returns the current weighting method for instances.
- getWeights() -
Method in class weka.classifiers.functions.LibLINEAR
- Gets the parameters C of class i to weight[i]*C (default 1).
- getWeights() -
Method in class weka.classifiers.functions.LibSVM
- Gets the parameters C of class i to weight[i]*C, for C-SVC (default 1).
- getWeights() -
Method in class weka.classifiers.functions.neural.NeuralNode
- call this function to get the weights array.
- getWeights() -
Method in class weka.estimators.KernelEstimator
- Return the weights of the kernels.
- getWeights() -
Method in interface weka.gui.boundaryvisualizer.DataGenerator
- Get weights
- getWeights() -
Method in class weka.gui.boundaryvisualizer.KDDataGenerator
-
- getWeightThreshold() -
Method in class weka.classifiers.meta.AdaBoostM1
- Get the degree of weight thresholding
- getWeightThreshold() -
Method in class weka.classifiers.meta.LogitBoost
- Get the degree of weight thresholding
- getWeightTrimBeta() -
Method in class weka.classifiers.functions.SimpleLogistic
- Get the value of weightTrimBeta.
- getWeightTrimBeta() -
Method in class weka.classifiers.trees.FT
- Get the value of weightTrimBeta.
- getWeightTrimBeta() -
Method in class weka.classifiers.trees.LMT
- Get the value of weightTrimBeta.
- getWeightTrimBeta() -
Method in class weka.classifiers.trees.lmt.LogisticBase
- Get the value of weightTrimBeta.
- getWholeDataErr() -
Method in class weka.classifiers.rules.Ridor
-
- getWidth() -
Method in class weka.gui.beans.BeanInstance
- Gets the width of this bean
- getWindow(Class) -
Method in class weka.gui.Main
- returns the first instance of the given window class, null if none can be
found.
- getWindow(String) -
Method in class weka.gui.Main
- returns the first window with the given title, null if none can be
found.
- getWindowList() -
Method in class weka.gui.Main
- returns all currently open frames.
- getWindowSize() -
Method in class weka.classifiers.lazy.IBk
- Gets the maximum number of instances allowed in the training
pool.
- getWithPrefix(String) -
Method in class weka.core.Trie
- returns all stored strings that match the given prefix
- getWords() -
Method in class weka.core.CheckScheme
- returns the words used for assembling strings in a comma-separated list.
- getWords() -
Method in class weka.core.TestInstances
- returns the words used for assembling strings in a comma-separated list.
- getWordSeparators() -
Method in class weka.core.CheckScheme
- returns the word separators (chars) to use for assembling strings.
- getWordSeparators() -
Method in class weka.core.TestInstances
- returns the word separators (chars) to use for assembling strings.
- getWordsToKeep() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Gets the number of words (per class if there is a class attribute
assigned) to attempt to keep.
- getWorkingDirectory() -
Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary
- Gets the working Directory of the ensemble library.
- getWorkingDirectory() -
Method in class weka.classifiers.meta.EnsembleSelection
- Get the value of working directory.
- getWrappedAlgorithm() -
Method in class weka.gui.beans.Associator
- Returns the wrapped associator
- getWrappedAlgorithm() -
Method in class weka.gui.beans.Classifier
- Returns the wrapped classifier
- getWrappedAlgorithm() -
Method in class weka.gui.beans.Clusterer
- Returns the wrapped clusterer
- getWrappedAlgorithm() -
Method in class weka.gui.beans.Filter
- Get the filter wrapped by this bean
- getWrappedAlgorithm() -
Method in class weka.gui.beans.Loader
- Get the loader
- getWrappedAlgorithm() -
Method in class weka.gui.beans.Saver
- Get the saver
- getWrappedAlgorithm() -
Method in interface weka.gui.beans.WekaWrapper
- Get the algorithm
- getWriteMode() -
Method in class weka.core.converters.AbstractSaver
- Gets the write mode.
- getWriteMode() -
Method in interface weka.core.converters.Saver
- Gets the write mode
- getWriteOPTICSresults() -
Method in class weka.clusterers.OPTICS
- Returns the flag for writing actions
- getWriter() -
Method in class weka.core.converters.AbstractFileSaver
- Gets the writer
- getWriter(String) -
Method in class weka.gui.visualize.PrintableComponent
- returns the JComponentWriter associated with the given name, is
null if not found.
- getWriter(String) -
Method in interface weka.gui.visualize.PrintableHandler
- returns the JComponentWriter associated with the given name, is
null if not found
- getWriter(String) -
Method in class weka.gui.visualize.PrintablePanel
- returns the JComponentWriter associated with the given name, is
null if not found
- getWriters() -
Method in class weka.gui.visualize.PrintableComponent
- returns a Hashtable with the current available JComponentWriters in the
save dialog.
- getWriters() -
Method in interface weka.gui.visualize.PrintableHandler
- returns a Hashtable with the current available JComponentWriters in the
save dialog.
- getWriters() -
Method in class weka.gui.visualize.PrintablePanel
- returns a Hashtable with the current available JComponentWriters in the
save dialog.
- getWVariance() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Get the calculated variance according to the Webb definition
- getX() -
Method in class weka.classifiers.functions.neural.NeuralConnection
-
- getX() -
Method in class weka.gui.beans.BeanInstance
- Gets the x coordinate of this bean
- getXBase() -
Method in class weka.classifiers.meta.GridSearch
- Get the value of the base for X.
- getXExpression() -
Method in class weka.classifiers.meta.GridSearch
- Get the expression for the X value.
- getXindex() -
Method in class weka.gui.visualize.PlotData2D
- Get the currently set x index of the data
- getXIndex() -
Method in class weka.gui.visualize.VisualizePanel
- Get the index of the attribute on the x axis
- getXLabelFreq() -
Method in class weka.gui.beans.StripChart
- Get the frequency by which x axis values are printed
- getXMax() -
Method in class weka.classifiers.meta.GridSearch
- Get the value of the Maximum of X.
- getXMin() -
Method in class weka.classifiers.meta.GridSearch
- Get the value of the minimum of X.
- getXMLDocument() -
Method in class weka.core.xml.XMLOptions
- returns the handler of the XML document.
- getXProperty() -
Method in class weka.classifiers.meta.GridSearch
- Get the X property to test (normally the filter).
- getXScale() -
Method in class weka.gui.visualize.JComponentWriter
- returns the scale factor for the x-axis
- getXScale() -
Method in class weka.gui.visualize.PrintableComponent
- returns the scale factor for the x-axis.
- getXScale() -
Method in interface weka.gui.visualize.PrintableHandler
- returns the scale factor for the x-axis
- getXScale() -
Method in class weka.gui.visualize.PrintablePanel
- returns the scale factor for the x-axis
- getXStep() -
Method in class weka.classifiers.meta.GridSearch
- Get the value of the step size for X.
- getY() -
Method in class weka.classifiers.functions.neural.NeuralConnection
-
- getY() -
Method in class weka.gui.beans.BeanInstance
- Gets the y coordinate of this bean
- getYBase() -
Method in class weka.classifiers.meta.GridSearch
- Get the value of the base for Y.
- getYExpression() -
Method in class weka.classifiers.meta.GridSearch
- Get the expression for the Y value.
- getYindex() -
Method in class weka.gui.visualize.PlotData2D
- Get the currently set y index of the data
- getYIndex() -
Method in class weka.gui.visualize.VisualizePanel
- Get the index of the attribute on the y axis
- getYMax() -
Method in class weka.classifiers.meta.GridSearch
- Get the value of the Maximum of Y.
- getYMin() -
Method in class weka.classifiers.meta.GridSearch
- Get the value of the minimum of Y.
- getYProperty() -
Method in class weka.classifiers.meta.GridSearch
- Get the Y property (normally the classifier).
- getYScale() -
Method in class weka.gui.visualize.JComponentWriter
- returns the scale factor for the y-axis
- getYScale() -
Method in class weka.gui.visualize.PrintableComponent
- returns the scale factor for the y-axis.
- getYScale() -
Method in interface weka.gui.visualize.PrintableHandler
- returns the scale factor for the y-axis
- getYScale() -
Method in class weka.gui.visualize.PrintablePanel
- returns the scale factor for the y-axis
- getYStep() -
Method in class weka.classifiers.meta.GridSearch
- Get the value of the step size for Y.
- getZeroValue() -
Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode
- figures out the class of this node's object and returns a new instance of
it initialized with the value of "0".
- globalBlendTipText() -
Method in class weka.classifiers.lazy.KStar
- Returns the tip text for this property
- globalInfo() -
Method in class weka.associations.Apriori
- Returns a string describing this associator
- globalInfo() -
Method in class weka.associations.FilteredAssociator
- Returns a string describing this Associator
- globalInfo() -
Method in class weka.associations.GeneralizedSequentialPatterns
- Returns global information about the algorithm.
- globalInfo() -
Method in class weka.associations.HotSpot
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.associations.PredictiveApriori
- Returns a string describing this associator
- globalInfo() -
Method in class weka.associations.Tertius
- Returns a string describing this associator.
- globalInfo() -
Method in class weka.attributeSelection.BestFirst
- Returns a string describing this search method
- globalInfo() -
Method in class weka.attributeSelection.CfsSubsetEval
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.attributeSelection.ChiSquaredAttributeEval
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.attributeSelection.ClassifierSubsetEval
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.attributeSelection.ConsistencySubsetEval
- Returns a string describing this search method
- globalInfo() -
Method in class weka.attributeSelection.CostSensitiveASEvaluation
-
- globalInfo() -
Method in class weka.attributeSelection.ExhaustiveSearch
- Returns a string describing this search method
- globalInfo() -
Method in class weka.attributeSelection.FCBFSearch
- Returns a string describing this search method
- globalInfo() -
Method in class weka.attributeSelection.FilteredAttributeEval
-
- globalInfo() -
Method in class weka.attributeSelection.FilteredSubsetEval
-
- globalInfo() -
Method in class weka.attributeSelection.GainRatioAttributeEval
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.attributeSelection.GeneticSearch
- Returns a string describing this search method
- globalInfo() -
Method in class weka.attributeSelection.GreedyStepwise
- Returns a string describing this search method
- globalInfo() -
Method in class weka.attributeSelection.InfoGainAttributeEval
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.attributeSelection.LatentSemanticAnalysis
- Returns a string describing this attribute transformer
- globalInfo() -
Method in class weka.attributeSelection.LinearForwardSelection
- Returns a string describing this search method
- globalInfo() -
Method in class weka.attributeSelection.OneRAttributeEval
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.attributeSelection.PrincipalComponents
- Returns a string describing this attribute transformer
- globalInfo() -
Method in class weka.attributeSelection.RaceSearch
- Returns a string describing this search method
- globalInfo() -
Method in class weka.attributeSelection.RandomSearch
- Returns a string describing this search method
- globalInfo() -
Method in class weka.attributeSelection.Ranker
- Returns a string describing this search method
- globalInfo() -
Method in class weka.attributeSelection.RankSearch
- Returns a string describing this search method
- globalInfo() -
Method in class weka.attributeSelection.ReliefFAttributeEval
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.attributeSelection.ScatterSearchV1
- Returns a string describing this search method
- globalInfo() -
Method in class weka.attributeSelection.SubsetSizeForwardSelection
- Returns a string describing this search method
- globalInfo() -
Method in class weka.attributeSelection.SVMAttributeEval
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.attributeSelection.SymmetricalUncertAttributeSetEval
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.attributeSelection.WrapperSubsetEval
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.classifiers.bayes.AODE
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.bayes.AODEsr
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.bayes.BayesianLogisticRegression
-
- globalInfo() -
Method in class weka.classifiers.bayes.BayesNet
- This will return a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.bayes.ComplementNaiveBayes
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.bayes.DMNBtext
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.bayes.HNB
- Returns a string describing this classifier.
- globalInfo() -
Method in class weka.classifiers.bayes.NaiveBayes
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.bayes.NaiveBayesMultinomial
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.bayes.NaiveBayesSimple
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.bayes.NaiveBayesUpdateable
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.bayes.net.BIFReader
- This will return a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
- This will return a string describing the class.
- globalInfo() -
Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
- Returns a string describing this object
- globalInfo() -
Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
- Returns a string describing this object
- globalInfo() -
Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
- Returns a string describing this object
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.ci.CISearchAlgorithm
- Returns a string describing this object
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
- This will return a string describing the search algorithm.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.fixed.FromFile
- Returns a string describing this object
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.fixed.NaiveBayes
- Returns a string describing this object
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
- This will return a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
- This will return a string describing the search algorithm.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.global.HillClimber
- This will return a string describing the search algorithm.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.global.K2
- This will return a string describing the search algorithm.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
- This will return a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
- This will return a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.global.TabuSearch
- This will return a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.global.TAN
- This will return a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
- This will return a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.local.HillClimber
- This will return a string describing the search algorithm.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.local.K2
- This will return a string describing the search algorithm.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
- This will return a string describing the search algorithm.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
- This will return a string describing the search algorithm.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
- This will return a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
- This will return a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.local.TabuSearch
- This will return a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.bayes.net.search.local.TAN
- This will return a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.bayes.WAODE
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.BVDecompose
- Returns a string describing this object
- globalInfo() -
Method in class weka.classifiers.BVDecomposeSegCVSub
- Returns a string describing this object
- globalInfo() -
Method in class weka.classifiers.functions.GaussianProcesses
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.functions.IsotonicRegression
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.functions.LeastMedSq
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.functions.LibLINEAR
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.functions.LibSVM
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.functions.LinearRegression
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.functions.Logistic
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.functions.MultilayerPerceptron
- This will return a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.functions.PaceRegression
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.functions.PLSClassifier
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.functions.RBFNetwork
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.functions.SimpleLinearRegression
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.functions.SimpleLogistic
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.functions.SMO
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.functions.SMOreg
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.functions.supportVector.Kernel
- Returns a string describing the kernel
- globalInfo() -
Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
- Returns a string describing the kernel
- globalInfo() -
Method in class weka.classifiers.functions.supportVector.PolyKernel
- Returns a string describing the kernel
- globalInfo() -
Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
- Returns a string describing the kernel
- globalInfo() -
Method in class weka.classifiers.functions.supportVector.Puk
- Returns a string describing the kernel
- globalInfo() -
Method in class weka.classifiers.functions.supportVector.RBFKernel
- Returns a string describing the kernel
- globalInfo() -
Method in class weka.classifiers.functions.supportVector.RegSMO
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.functions.supportVector.RegSMOImproved
- Returns a string describing the object
- globalInfo() -
Method in class weka.classifiers.functions.supportVector.StringKernel
- Returns a string describing the kernel
- globalInfo() -
Method in class weka.classifiers.functions.SVMreg
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.functions.VotedPerceptron
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.functions.Winnow
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.JythonClassifier
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.lazy.IB1
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.lazy.IBk
- Returns a string describing classifier.
- globalInfo() -
Method in class weka.classifiers.lazy.KStar
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.lazy.LBR
-
- globalInfo() -
Method in class weka.classifiers.lazy.LWL
- Returns a string describing classifier.
- globalInfo() -
Method in class weka.classifiers.meta.AdaBoostM1
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.AdditiveRegression
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.classifiers.meta.AttributeSelectedClassifier
- Returns a string describing this search method
- globalInfo() -
Method in class weka.classifiers.meta.Bagging
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.ClassificationViaClustering
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.ClassificationViaRegression
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.CostSensitiveClassifier
-
- globalInfo() -
Method in class weka.classifiers.meta.CVParameterSelection
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.meta.Dagging
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.Decorate
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.END
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.EnsembleSelection
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.FilteredClassifier
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.classifiers.meta.Grading
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.GridSearch
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.LogitBoost
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.MetaCost
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.MultiBoostAB
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.MultiClassClassifier
-
- globalInfo() -
Method in class weka.classifiers.meta.MultiScheme
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.nestedDichotomies.ClassBalancedND
-
- globalInfo() -
Method in class weka.classifiers.meta.nestedDichotomies.DataNearBalancedND
-
- globalInfo() -
Method in class weka.classifiers.meta.nestedDichotomies.ND
-
- globalInfo() -
Method in class weka.classifiers.meta.OrdinalClassClassifier
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.classifiers.meta.RacedIncrementalLogitBoost
-
- globalInfo() -
Method in class weka.classifiers.meta.RandomCommittee
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.RandomSubSpace
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.RegressionByDiscretization
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.RotationForest
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.Stacking
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.StackingC
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.meta.ThresholdSelector
-
- globalInfo() -
Method in class weka.classifiers.meta.Vote
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.mi.CitationKNN
- Returns a string describing this filter
- globalInfo() -
Method in class weka.classifiers.mi.MDD
- Returns a string describing this filter
- globalInfo() -
Method in class weka.classifiers.mi.MIBoost
- Returns a string describing this filter
- globalInfo() -
Method in class weka.classifiers.mi.MIDD
- Returns a string describing this filter
- globalInfo() -
Method in class weka.classifiers.mi.MIEMDD
- Returns a string describing this filter
- globalInfo() -
Method in class weka.classifiers.mi.MILR
- Returns the tip text for this property
- globalInfo() -
Method in class weka.classifiers.mi.MINND
- Returns a string describing this filter
- globalInfo() -
Method in class weka.classifiers.mi.MIOptimalBall
- Returns a string describing this filter
- globalInfo() -
Method in class weka.classifiers.mi.MISMO
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.mi.MISVM
- Returns a string describing this filter
- globalInfo() -
Method in class weka.classifiers.mi.MIWrapper
- Returns a string describing this filter
- globalInfo() -
Method in class weka.classifiers.mi.SimpleMI
- Returns a string describing this filter
- globalInfo() -
Method in class weka.classifiers.mi.TLD
- Returns a string describing this filter
- globalInfo() -
Method in class weka.classifiers.mi.TLDSimple
- Returns a string describing this filter
- globalInfo() -
Method in class weka.classifiers.misc.FLR
- Returns a description of the classifier suitable for
displaying in the explorer/experimenter gui
- globalInfo() -
Method in class weka.classifiers.misc.HyperPipes
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.misc.MinMaxExtension
- Returns a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.misc.monotone.OSDLCore
- Returns a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.misc.OLM
- Returns a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.misc.SerializedClassifier
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.misc.VFI
- Returns a string describing this search method
- globalInfo() -
Method in class weka.classifiers.rules.ConjunctiveRule
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.rules.DecisionTable
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.rules.DTNB
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.rules.JRip
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.rules.M5Rules
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.rules.NNge
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.rules.OneR
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.rules.PART
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.rules.Prism
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.rules.Ridor
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.rules.ZeroR
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.trees.ADTree
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.trees.BFTree
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.trees.DecisionStump
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.trees.FT
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.trees.Id3
- Returns a string describing the classifier.
- globalInfo() -
Method in class weka.classifiers.trees.J48
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.trees.J48graft
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.trees.LADTree
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.trees.LMT
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.trees.m5.M5Base
- returns information about the classifier
- globalInfo() -
Method in class weka.classifiers.trees.NBTree
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.trees.RandomForest
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.trees.RandomTree
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.trees.REPTree
- Returns a string describing classifier
- globalInfo() -
Method in class weka.classifiers.trees.SimpleCart
- Return a description suitable for displaying in the explorer/experimenter.
- globalInfo() -
Method in class weka.classifiers.trees.UserClassifier
- This will return a string describing the classifier.
- globalInfo() -
Method in class weka.clusterers.CLOPE
- Returns a string describing this DataMining-Algorithm
- globalInfo() -
Method in class weka.clusterers.Cobweb
- Returns a string describing this clusterer
- globalInfo() -
Method in class weka.clusterers.DBScan
- Returns a string describing this DataMining-Algorithm
- globalInfo() -
Method in class weka.clusterers.EM
- Returns a string describing this clusterer
- globalInfo() -
Method in class weka.clusterers.FarthestFirst
- Returns a string describing this clusterer
- globalInfo() -
Method in class weka.clusterers.FilteredClusterer
- Returns a string describing this clusterer.
- globalInfo() -
Method in class weka.clusterers.MakeDensityBasedClusterer
- Returns a string describing classifier
- globalInfo() -
Method in class weka.clusterers.OPTICS
- Returns a string describing this DataMining-Algorithm
- globalInfo() -
Method in class weka.clusterers.sIB
- Returns a string describing this clusterer
- globalInfo() -
Method in class weka.clusterers.SimpleKMeans
- Returns a string describing this clusterer
- globalInfo() -
Method in class weka.clusterers.XMeans
- Returns a string describing this clusterer.
- globalInfo() -
Method in class weka.core.ChebyshevDistance
- Returns a string describing this object.
- globalInfo() -
Method in class weka.core.converters.ArffLoader
- Returns a string describing this Loader
- globalInfo() -
Method in class weka.core.converters.ArffSaver
- Returns a string describing this Saver
- globalInfo() -
Method in class weka.core.converters.C45Loader
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.core.converters.C45Saver
- Returns a string describing this Saver
- globalInfo() -
Method in class weka.core.converters.CSVLoader
- Returns a string describing this attribute evaluator
- globalInfo() -
Method in class weka.core.converters.CSVSaver
- Returns a string describing this Saver
- globalInfo() -
Method in class weka.core.converters.DatabaseLoader
- Returns a string describing this Loader
- globalInfo() -
Method in class weka.core.converters.DatabaseSaver
- Returns a string describing this Saver
- globalInfo() -
Method in class weka.core.converters.LibSVMLoader
- Returns a string describing this Loader.
- globalInfo() -
Method in class weka.core.converters.LibSVMSaver
- Returns a string describing this Saver
- globalInfo() -
Method in class weka.core.converters.SerializedInstancesLoader
- Returns a string describing this object
- globalInfo() -
Method in class weka.core.converters.SerializedInstancesSaver
- Returns a string describing this Saver
- globalInfo() -
Method in class weka.core.converters.SVMLightLoader
- Returns a string describing this Loader.
- globalInfo() -
Method in class weka.core.converters.SVMLightSaver
- Returns a string describing this Saver.
- globalInfo() -
Method in class weka.core.converters.TextDirectoryLoader
- Returns a string describing this loader
- globalInfo() -
Method in class weka.core.converters.XRFFLoader
- Returns a string describing this Loader
- globalInfo() -
Method in class weka.core.converters.XRFFSaver
- Returns a string describing this Saver
- globalInfo() -
Method in class weka.core.EditDistance
- Returns a string describing this object.
- globalInfo() -
Method in class weka.core.EuclideanDistance
- Returns a string describing this object.
- globalInfo() -
Method in class weka.core.ManhattanDistance
- Returns a string describing this object.
- globalInfo() -
Method in class weka.core.neighboursearch.BallTree
- Returns a string describing this nearest neighbour search algorithm.
- globalInfo() -
Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
- Returns a string describing this nearest neighbour search algorithm.
- globalInfo() -
Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
- Returns a string describing this nearest neighbour search algorithm.
- globalInfo() -
Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
- Returns a string describing this nearest neighbour search algorithm.
- globalInfo() -
Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
- Returns a string describing this nearest neighbour search algorithm.
- globalInfo() -
Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
- Returns a string describing this object.
- globalInfo() -
Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
- Returns a string describing this nearest neighbour search algorithm.
- globalInfo() -
Method in class weka.core.neighboursearch.CoverTree
- Returns a string describing this nearest neighbour search algorithm.
- globalInfo() -
Method in class weka.core.neighboursearch.KDTree
- Returns a string describing this nearest neighbour search algorithm.
- globalInfo() -
Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
- Returns a string describing this nearest neighbour search algorithm.
- globalInfo() -
Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
- Returns a string describing this nearest neighbour search algorithm.
- globalInfo() -
Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
- Returns a string describing this nearest neighbour search algorithm.
- globalInfo() -
Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
- Returns a string describing this nearest neighbour search algorithm.
- globalInfo() -
Method in class weka.core.neighboursearch.LinearNNSearch
- Returns a string describing this nearest neighbour search algorithm.
- globalInfo() -
Method in class weka.core.neighboursearch.NearestNeighbourSearch
- Returns a string describing this nearest neighbour search algorithm.
- globalInfo() -
Method in class weka.core.NormalizableDistance
- Returns a string describing this object.
- globalInfo() -
Method in class weka.core.stemmers.IteratedLovinsStemmer
- Returns a string describing the stemmer
- globalInfo() -
Method in class weka.core.stemmers.LovinsStemmer
- Returns a string describing the stemmer
- globalInfo() -
Method in class weka.core.stemmers.NullStemmer
- Returns a string describing the stemmer
- globalInfo() -
Method in class weka.core.stemmers.SnowballStemmer
- Returns a string describing the stemmer.
- globalInfo() -
Method in class weka.core.tokenizers.AlphabeticTokenizer
- Returns a string describing the stemmer
- globalInfo() -
Method in class weka.core.tokenizers.NGramTokenizer
- Returns a string describing the stemmer
- globalInfo() -
Method in class weka.core.tokenizers.Tokenizer
- Returns a string describing the stemmer
- globalInfo() -
Method in class weka.core.tokenizers.WordTokenizer
- Returns a string describing the stemmer
- globalInfo() -
Method in class weka.datagenerators.classifiers.classification.Agrawal
- Returns a string describing this data generator.
- globalInfo() -
Method in class weka.datagenerators.classifiers.classification.BayesNet
- Returns a string describing this data generator.
- globalInfo() -
Method in class weka.datagenerators.classifiers.classification.LED24
- Returns a string describing this data generator.
- globalInfo() -
Method in class weka.datagenerators.classifiers.classification.RandomRBF
- Returns a string describing this data generator.
- globalInfo() -
Method in class weka.datagenerators.classifiers.classification.RDG1
- Returns a string describing this data generator.
- globalInfo() -
Method in class weka.datagenerators.classifiers.regression.Expression
- Returns a string describing this data generator.
- globalInfo() -
Method in class weka.datagenerators.classifiers.regression.MexicanHat
- Returns a string describing this data generator.
- globalInfo() -
Method in class weka.datagenerators.ClusterDefinition
- Returns a string describing this data generator.
- globalInfo() -
Method in class weka.datagenerators.clusterers.BIRCHCluster
- Returns a string describing this data generator.
- globalInfo() -
Method in class weka.datagenerators.clusterers.SubspaceCluster
- Returns a string describing this data generator.
- globalInfo() -
Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
- Returns a string describing this data generator.
- globalInfo() -
Method in class weka.experiment.AveragingResultProducer
- Returns a string describing this result producer
- globalInfo() -
Method in class weka.experiment.ClassifierSplitEvaluator
- Returns a string describing this split evaluator
- globalInfo() -
Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
- Returns a string describing this split evaluator
- globalInfo() -
Method in class weka.experiment.CrossValidationResultProducer
- Returns a string describing this result producer
- globalInfo() -
Method in class weka.experiment.CSVResultListener
- Returns a string describing this result listener
- globalInfo() -
Method in class weka.experiment.DatabaseResultListener
- Returns a string describing this result listener
- globalInfo() -
Method in class weka.experiment.DatabaseResultProducer
- Returns a string describing this result producer
- globalInfo() -
Method in class weka.experiment.DensityBasedClustererSplitEvaluator
- Returns a string describing this split evaluator
- globalInfo() -
Method in class weka.experiment.InstancesResultListener
- Returns a string describing this result listener
- globalInfo() -
Method in class weka.experiment.LearningRateResultProducer
- Returns a string describing this result producer
- globalInfo() -
Method in class weka.experiment.RandomSplitResultProducer
- Returns a string describing this result producer
- globalInfo() -
Method in class weka.experiment.RegressionSplitEvaluator
- Returns a string describing this split evaluator
- globalInfo() -
Method in class weka.filters.AllFilter
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.MultiFilter
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.SimpleFilter
- Returns a string describing this classifier.
- globalInfo() -
Method in class weka.filters.supervised.attribute.AddClassification
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.supervised.attribute.AttributeSelection
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.supervised.attribute.ClassOrder
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.supervised.attribute.Discretize
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.supervised.attribute.NominalToBinary
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.supervised.attribute.PLSFilter
- Returns a string describing this classifier.
- globalInfo() -
Method in class weka.filters.supervised.instance.Resample
- Returns a string describing this filter.
- globalInfo() -
Method in class weka.filters.supervised.instance.SMOTE
- Returns a string describing this classifier.
- globalInfo() -
Method in class weka.filters.supervised.instance.SpreadSubsample
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.Add
- Returns a string describing this filter.
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.AddCluster
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.AddExpression
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.AddID
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.AddNoise
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.AddValues
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.Center
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.ClassAssigner
- Returns a string describing this classifier.
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.ClusterMembership
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.Copy
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.Discretize
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.FirstOrder
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.InterquartileRange
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.KernelFilter
- Returns a string describing this filter.
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.MathExpression
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.MergeTwoValues
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.MultiInstanceToPropositional
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.NominalToBinary
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.NominalToString
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.Normalize
- Returns a string describing this filter.
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.NumericCleaner
- Returns a string describing this filter.
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.NumericToBinary
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.NumericToNominal
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.NumericTransform
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.Obfuscate
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.PKIDiscretize
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.PrincipalComponents
- Returns a string describing this filter.
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.PropositionalToMultiInstance
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.RandomProjection
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.RandomSubset
- Returns a string describing this filter.
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.RELAGGS
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.Remove
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.RemoveType
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.RemoveUseless
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.Reorder
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.Standardize
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.StringToNominal
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.StringToWordVector
- Returns a string describing this filter.
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.SwapValues
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.filters.unsupervised.attribute.Wavelet
- Returns a string describing this classifier.
- globalInfo() -
Method in class weka.filters.unsupervised.instance.NonSparseToSparse
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.instance.Normalize
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.instance.Randomize
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.filters.unsupervised.instance.RemoveFolds
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.instance.RemoveMisclassified
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.instance.RemovePercentage
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.instance.RemoveRange
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.instance.RemoveWithValues
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.filters.unsupervised.instance.Resample
- Returns a string describing this classifier
- globalInfo() -
Method in class weka.filters.unsupervised.instance.ReservoirSample
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.instance.SparseToNonSparse
- Returns a string describing this filter
- globalInfo() -
Method in class weka.filters.unsupervised.instance.SubsetByExpression
- Returns a string describing this filter.
- globalInfo() -
Method in class weka.gui.beans.Associator
- Global info (if it exists) for the wrapped classifier
- globalInfo() -
Method in class weka.gui.beans.AttributeSummarizer
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.ClassAssigner
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.Classifier
- Global info (if it exists) for the wrapped classifier
- globalInfo() -
Method in class weka.gui.beans.ClassifierPerformanceEvaluator
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.ClassValuePicker
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.Clusterer
- Global info (if it exists) for the wrapped classifier
- globalInfo() -
Method in class weka.gui.beans.ClustererPerformanceEvaluator
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.CrossValidationFoldMaker
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.DataVisualizer
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.Filter
- Global info (if it exists) for the wrapped filter
- globalInfo() -
Method in class weka.gui.beans.GraphViewer
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.IncrementalClassifierEvaluator
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.Loader
- Global info (if it exists) for the wrapped loader
- globalInfo() -
Method in class weka.gui.beans.ModelPerformanceChart
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.PredictionAppender
- Global description of this bean
- globalInfo() -
Method in class weka.gui.beans.Saver
- Global info (if it exists) for the wrapped loader
- globalInfo() -
Method in class weka.gui.beans.ScatterPlotMatrix
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.SerializedModelSaver
- Global info for this bean.
- globalInfo() -
Method in class weka.gui.beans.StripChart
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.TestSetMaker
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.TextViewer
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.TrainingSetMaker
- Global info for this bean
- globalInfo() -
Method in class weka.gui.beans.TrainTestSplitMaker
- Global info for this bean
- GLOBALINFO_ENDTAG -
Static variable in class weka.core.GlobalInfoJavadoc
- the end comment tag for inserting the generated Javadoc
- GLOBALINFO_METHOD -
Static variable in class weka.core.GlobalInfoJavadoc
- the globalInfo method name
- GLOBALINFO_STARTTAG -
Static variable in class weka.core.GlobalInfoJavadoc
- the start comment tag for inserting the generated Javadoc
- GlobalInfoJavadoc - Class in weka.core
- Generates Javadoc comments from the class's globalInfo method.
- GlobalInfoJavadoc() -
Constructor for class weka.core.GlobalInfoJavadoc
- default constructor
- GlobalScoreSearchAlgorithm - Class in weka.classifiers.bayes.net.search.global
- This Bayes Network learning algorithm uses cross validation to estimate classification accuracy.
- GlobalScoreSearchAlgorithm() -
Constructor for class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
- goDown(String) -
Method in class weka.gui.HierarchyPropertyParser
- Go to a certain node of the tree down from the current node
according to the specified relative path.
- goTo(String) -
Method in class weka.gui.HierarchyPropertyParser
- Go to a certain node of the tree according to the specified path
Note that the path must be absolute path from the root.
- goToChild(String) -
Method in class weka.gui.HierarchyPropertyParser
- Go to one child node from the current position in the tree
according to the given value
If the child node with the given value cannot be found it
returns false, true otherwise.
- goToChild(int) -
Method in class weka.gui.HierarchyPropertyParser
- Go to one child node from the current position in the tree
according to the given position
- goToParent() -
Method in class weka.gui.HierarchyPropertyParser
- Go to the parent from the current position in the tree
If the current position is the root, it stays there and does
not move
- goToRoot() -
Method in class weka.gui.HierarchyPropertyParser
- Go to the root of the tree
- gr(double, double) -
Static method in class weka.core.Utils
- Tests if a is greater than b.
- Grading - Class in weka.classifiers.meta
- Implements Grading.
- Grading() -
Constructor for class weka.classifiers.meta.Grading
-
- GraftSplit - Class in weka.classifiers.trees.j48
- Class implementing a split for nodes added to a tree during grafting.
- GraftSplit(int, double, int, double, double) -
Constructor for class weka.classifiers.trees.j48.GraftSplit
- constructor
- GraftSplit(int, double, int, double, double[][]) -
Constructor for class weka.classifiers.trees.j48.GraftSplit
- constructor
- graph() -
Method in class weka.associations.HotSpot
-
- graph() -
Method in class weka.classifiers.bayes.BayesNet
- Returns a BayesNet graph in XMLBIF ver 0.3 format.
- graph() -
Method in class weka.classifiers.meta.AttributeSelectedClassifier
- Returns graph describing the classifier (if possible).
- graph() -
Method in class weka.classifiers.meta.CostSensitiveClassifier
- Returns graph describing the classifier (if possible).
- graph() -
Method in class weka.classifiers.meta.CVParameterSelection
- Returns graph describing the classifier (if possible).
- graph() -
Method in class weka.classifiers.meta.FilteredClassifier
- Returns graph describing the classifier (if possible).
- graph() -
Method in class weka.classifiers.meta.ThresholdSelector
- Returns graph describing the classifier (if possible).
- graph() -
Method in class weka.classifiers.trees.ADTree
- Returns graph describing the tree.
- graph() -
Method in class weka.classifiers.trees.ft.FTtree
- Returns graph describing the tree.
- graph() -
Method in class weka.classifiers.trees.FT
- Returns graph describing the tree.
- graph() -
Method in class weka.classifiers.trees.j48.ClassifierTree
- Returns graph describing the tree.
- graph() -
Method in class weka.classifiers.trees.J48
- Returns graph describing the tree.
- graph() -
Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
- Returns graph describing the tree.
- graph() -
Method in class weka.classifiers.trees.J48graft
- Returns graph describing the tree.
- graph() -
Method in class weka.classifiers.trees.LADTree
- Returns graph describing the tree.
- graph() -
Method in class weka.classifiers.trees.LMT
- Returns graph describing the tree.
- graph() -
Method in class weka.classifiers.trees.lmt.LMTNode
- Returns graph describing the tree.
- graph(StringBuffer) -
Method in class weka.classifiers.trees.m5.RuleNode
- Assign a unique identifier to each node in the tree and then
calls graphTree
- graph() -
Method in class weka.classifiers.trees.M5P
- Return a dot style String describing the tree.
- graph() -
Method in class weka.classifiers.trees.NBTree
- Returns graph describing the tree.
- graph() -
Method in class weka.classifiers.trees.REPTree
- Outputs the decision tree as a graph
- graph() -
Method in class weka.classifiers.trees.UserClassifier
-
- graph() -
Method in class weka.clusterers.Cobweb
- Generates the graph string of the Cobweb tree
- graph() -
Method in interface weka.core.Drawable
- Returns a string that describes a graph representing
the object.
- GraphConstants - Interface in weka.gui.graphvisualizer
- GraphConstants.java
- GraphEdge - Class in weka.gui.graphvisualizer
- This class represents an edge in the graph
- GraphEdge(int, int, int) -
Constructor for class weka.gui.graphvisualizer.GraphEdge
-
- GraphEdge(int, int, int, String, String) -
Constructor for class weka.gui.graphvisualizer.GraphEdge
-
- GraphEvent - Class in weka.gui.beans
- Event for graphs
- GraphEvent(Object, String, String, int) -
Constructor for class weka.gui.beans.GraphEvent
- Creates a new
GraphEvent instance.
- GraphListener - Interface in weka.gui.beans
- Describe interface
TextListener here. - GraphNode - Class in weka.gui.graphvisualizer
- This class represents a node in the Graph.
- GraphNode(String, String) -
Constructor for class weka.gui.graphvisualizer.GraphNode
- Constructor
- GraphNode(String, String, int) -
Constructor for class weka.gui.graphvisualizer.GraphNode
- Constructor
- GraphPanel - Class in weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI
-
GraphPanel.java
Authors: Rainer Holzmann, Zhanna Melnikova-Albrecht
Date: Sep 16, 2004
Time: 10:28:19 AM
$ Revision 1.4 $
- GraphPanel(FastVector, int, boolean, boolean) -
Constructor for class weka.clusterers.forOPTICSAndDBScan.OPTICS_GUI.GraphPanel
-
- graphType() -
Method in class weka.associations.HotSpot
- Returns the type of graph this scheme
represents.
- graphType() -
Method in class weka.classifiers.bayes.BayesNet
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.meta.AttributeSelectedClassifier
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.meta.CostSensitiveClassifier
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.meta.CVParameterSelection
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.meta.FilteredClassifier
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.meta.ThresholdSelector
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.trees.ADTree
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.trees.FT
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.trees.j48.ClassifierTree
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.trees.J48
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.trees.J48graft
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.trees.LADTree
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.trees.LMT
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.trees.M5P
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.trees.NBTree
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.trees.REPTree
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.classifiers.trees.UserClassifier
- Returns the type of graph this classifier
represents.
- graphType() -
Method in class weka.clusterers.Cobweb
- Returns the type of graphs this class
represents
- graphType() -
Method in interface weka.core.Drawable
- Returns the type of graph representing
the object.
- GraphViewer - Class in weka.gui.beans
- A bean encapsulating weka.gui.treevisualize.TreeVisualizer
- GraphViewer() -
Constructor for class weka.gui.beans.GraphViewer
-
- GraphViewerBeanInfo - Class in weka.gui.beans
- Bean info class for the graph viewer
- GraphViewerBeanInfo() -
Constructor for class weka.gui.beans.GraphViewerBeanInfo
-
- GraphVisualizer - Class in weka.gui.graphvisualizer
- This class displays the graph we want to visualize.
- GraphVisualizer() -
Constructor for class weka.gui.graphvisualizer.GraphVisualizer
- Constructor
Sets up the gui and initializes all the other previously
uninitialized variables.
- greedySortInitializationTipText() -
Method in class weka.classifiers.meta.EnsembleSelection
- Returns the tip text for this property
- GreedyStepwise - Class in weka.attributeSelection
- GreedyStepwise :
Performs a greedy forward or backward search through the space of attribute subsets. - GreedyStepwise() -
Constructor for class weka.attributeSelection.GreedyStepwise
- Constructor
- GRID -
Static variable in class weka.datagenerators.clusterers.BIRCHCluster
- Constant set for choice of pattern.
- gridIsExtendableTipText() -
Method in class weka.classifiers.meta.GridSearch
- Returns the tip text for this property
- GridSearch - Class in weka.classifiers.meta
- Performs a grid search of parameter pairs for the a classifier (Y-axis, default is LinearRegression with the "Ridge" parameter) and the PLSFilter (X-axis, "# of Components") and chooses the best pair found for the actual predicting.
The initial grid is worked on with 2-fold CV to determine the values of the parameter pairs for the selected type of evaluation (e.g., accuracy). - GridSearch() -
Constructor for class weka.classifiers.meta.GridSearch
- the default constructor
- grOrEq(double, double) -
Static method in class weka.core.Utils
- Tests if a is greater or equal to b.
- grouping(boolean) -
Method in class weka.core.matrix.FlexibleDecimalFormat
-
- grow(Instances) -
Method in class weka.classifiers.rules.Rule
- Build this rule
- GT -
Static variable in interface weka.core.mathematicalexpression.sym
-
- GT -
Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
-
- GUI - Class in weka.classifiers.bayes.net
- GUI interface to Bayesian Networks.
- GUI() -
Constructor for class weka.classifiers.bayes.net.GUI
- Constructor
Sets up the gui and initializes all the other previously uninitialized
variables.
- GUI_MDI -
Static variable in class weka.gui.Main
- displays the GUI as MDI.
- GUI_SDI -
Static variable in class weka.gui.Main
- displays the GUI as SDI.
- GUIChooser - Class in weka.gui
- The main class for the Weka GUIChooser.
- GUIChooser() -
Constructor for class weka.gui.GUIChooser
- Creates the experiment environment gui with no initial experiment
- GUIChooser.ChildFrameSDI - Class in weka.gui
- Specialized JFrame class.
- GUIChooser.ChildFrameSDI(GUIChooser, String) -
Constructor for class weka.gui.GUIChooser.ChildFrameSDI
- constructs a new internal frame that knows about its parent.
- GUIEDITORS_PROPERTY_FILE -
Static variable in class weka.gui.GenericObjectEditor
- the properties files containing the class/editor mappings.
- GUITipText() -
Method in class weka.classifiers.functions.MultilayerPerceptron
-