A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

G

GAUSS - Static variable in class weka.classifiers.lazy.LWL

GAUSSIAN - Static variable in class weka.filters.unsupervised.attribute.RandomProjection

The types of distributions that can be used for calculating the random matrix

GRID - Static variable in class weka.datagenerators.BIRCHCluster

GUIChooser - class weka.gui.GUIChooser.

The main class for the Weka GUIChooser.

GUIChooser() - Constructor for class weka.gui.GUIChooser

Creates the experiment environment gui with no initial experiment

GUITipText() - Method in class weka.classifiers.functions.MultilayerPerceptron

GainRatioAttributeEval - class weka.attributeSelection.GainRatioAttributeEval.

Class for Evaluating attributes individually by measuring gain ratio with respect to the class.

GainRatioAttributeEval() - Constructor for class weka.attributeSelection.GainRatioAttributeEval

Constructor

GainRatioSplitCrit - class weka.classifiers.trees.j48.GainRatioSplitCrit.

Class for computing the gain ratio for a given distribution.

GainRatioSplitCrit() - Constructor for class weka.classifiers.trees.j48.GainRatioSplitCrit

Generator - class weka.datagenerators.Generator.

Abstract class for data generators. ------------------------------------------------------------------- General options are: -r string
Name of the relation of the generated dataset.

Generator() - Constructor for class weka.datagenerators.Generator

GeneratorPropertyIteratorPanel - class weka.gui.experiment.GeneratorPropertyIteratorPanel.

This panel controls setting a list of values for an arbitrary resultgenerator property for an experiment to iterate over.

GeneratorPropertyIteratorPanel() - Constructor for class weka.gui.experiment.GeneratorPropertyIteratorPanel

Creates the property iterator panel initially disabled.

GeneratorPropertyIteratorPanel(Experiment) - Constructor for class weka.gui.experiment.GeneratorPropertyIteratorPanel

Creates the property iterator panel and sets the experiment.

GenericArrayEditor - class weka.gui.GenericArrayEditor.

A PropertyEditor for arrays of objects that themselves have property editors.

GenericArrayEditor() - Constructor for class weka.gui.GenericArrayEditor

Sets up the array editor.

GenericArrayEditor.EditorListCellRenderer - class weka.gui.GenericArrayEditor.EditorListCellRenderer.

GenericArrayEditor.EditorListCellRenderer(Class, Class) - Constructor for class weka.gui.GenericArrayEditor.EditorListCellRenderer

Creates the list cell renderer.

GenericObjectEditor - class weka.gui.GenericObjectEditor.

A PropertyEditor for objects that themselves have been defined as editable in the GenericObjectEditor configuration file, which lists possible values that can be selected from, and themselves configured.

GenericObjectEditor() - Constructor for class weka.gui.GenericObjectEditor

Default constructor.

GenericObjectEditor(boolean) - Constructor for class weka.gui.GenericObjectEditor

Constructor that allows specifying whether it is possible to change the class within the editor dialog.

GenericObjectEditor.GOEPanel - class weka.gui.GenericObjectEditor.GOEPanel.

Handles the GUI side of editing values.

GenericObjectEditor.GOEPanel() - Constructor for class weka.gui.GenericObjectEditor.GOEPanel

Creates the GUI editor component

GenericObjectEditor.JTreePopupMenu - class weka.gui.GenericObjectEditor.JTreePopupMenu.

Creates a popup menu containing a tree that is aware of the screen dimensions.

GenericObjectEditor.JTreePopupMenu(JTree) - Constructor for class weka.gui.GenericObjectEditor.JTreePopupMenu

Constructs a new popup menu.

GeneticSearch - class weka.attributeSelection.GeneticSearch.

Class for performing a genetic based search.

GeneticSearch() - Constructor for class weka.attributeSelection.GeneticSearch

Constructor.

GeneticSearch.GABitSet - class weka.attributeSelection.GeneticSearch.GABitSet.

GeneticSearch.GABitSet() - Constructor for class weka.attributeSelection.GeneticSearch.GABitSet

Constructor

GetCardinalityOfParents() - Method in class weka.classifiers.bayes.ParentSet

returns cardinality of parents

GetNrOfParents() - Method in class weka.classifiers.bayes.ParentSet

returns number of parents

GetParent(int) - Method in class weka.classifiers.bayes.ParentSet

returns index parent of parent specified by index

Grading - class weka.classifiers.meta.Grading.

Implements Grading.

Grading() - Constructor for class weka.classifiers.meta.Grading

GraphConstants - interface weka.gui.graphvisualizer.GraphConstants.

GraphConstants.java

GraphEdge - class weka.gui.graphvisualizer.GraphEdge.

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 weka.gui.beans.GraphEvent.

Event for graphs

GraphEvent(Object, String, String) - Constructor for class weka.gui.beans.GraphEvent

Creates a new GraphEvent instance.

GraphListener - interface weka.gui.beans.GraphListener.

Describe interface TextListener here.

GraphNode - class weka.gui.graphvisualizer.GraphNode.

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

GraphViewer - class weka.gui.beans.GraphViewer.

A bean encapsulating weka.gui.treevisualize.TreeVisualizer

GraphViewer() - Constructor for class weka.gui.beans.GraphViewer

GraphViewerBeanInfo - class weka.gui.beans.GraphViewerBeanInfo.

Bean info class for the graph viewer

GraphViewerBeanInfo() - Constructor for class weka.gui.beans.GraphViewerBeanInfo

GraphVisualizer - class weka.gui.graphvisualizer.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.

GraphVisualizer.GraphPanel - class weka.gui.graphvisualizer.GraphVisualizer.GraphPanel.

The panel which contains the actual graph.

GraphVisualizer.GraphPanel() - Constructor for class weka.gui.graphvisualizer.GraphVisualizer.GraphPanel

GraphVisualizer.GraphVisualizerMouseListener - class weka.gui.graphvisualizer.GraphVisualizer.GraphVisualizerMouseListener.

Listener class for processing mouseClicked

GraphVisualizer.GraphVisualizerMouseListener() - Constructor for class weka.gui.graphvisualizer.GraphVisualizer.GraphVisualizerMouseListener

GraphVisualizer.GraphVisualizerMouseMotionListener - class weka.gui.graphvisualizer.GraphVisualizer.GraphVisualizerMouseMotionListener.

private class for handling mouseMoved events to highlight nodes if the the mouse is moved on one

GraphVisualizer.GraphVisualizerMouseMotionListener() - Constructor for class weka.gui.graphvisualizer.GraphVisualizer.GraphVisualizerMouseMotionListener

GraphVisualizer.GraphVisualizerTableModel - class weka.gui.graphvisualizer.GraphVisualizer.GraphVisualizerTableModel.

Table Model for the Table that shows the probability distribution for a node

GraphVisualizer.GraphVisualizerTableModel(double[][], String[]) - Constructor for class weka.gui.graphvisualizer.GraphVisualizer.GraphVisualizerTableModel

g1(double, double) - Method in class weka.classifiers.functions.pace.PaceMatrix

Constructs the Givens rotation

g2(double[], int, int, int) - Method in class weka.classifiers.functions.pace.PaceMatrix

gain(double[][], double) - Method in class weka.classifiers.trees.REPTree.Tree

Computes value of splitting criterion after split.

gain(double[][], double) - Method in class weka.classifiers.trees.RandomTree

Computes value of splitting criterion after split.

gainRatio() - Method in class weka.classifiers.trees.j48.BinC45Split

Returns (C4.5-type) gain ratio for the generated split.

gainRatio() - Method in class weka.classifiers.trees.j48.C45Split

Returns (C4.5-type) gain ratio for the generated split.

gainRatio(double[][]) - Static method in class weka.core.ContingencyTables

Computes gain ratio for contingency table (split on rows).

gainRatioCrit - Static variable in class weka.classifiers.trees.j48.C45Split

Static reference to splitting criterion.

gamma(double) - Static method in class weka.core.Statistics

Returns the Gamma function of the argument.

gammaTipText() - Method in class weka.classifiers.functions.SMO

Returns the tip text for this property

gammaTipText() - Method in class weka.classifiers.functions.SMOreg

Returns the tip text for this property

genRegression() - Method in class weka.classifiers.functions.LeastMedSq

Generates a LinearRegression classifier from the current m_SubSample

generalise(Instance) - Method in class weka.classifiers.rules.NNge.Exemplar

Generalise the Exemplar with inst

generalise(Instance) - Method in class weka.classifiers.rules.NNge

Generalise an Exemplar (not necessarily predictedExemplar) to match instance.

generateArtificialData(int, Instances) - Method in class weka.classifiers.meta.Decorate

Generate artificial training examples.

generateAttrDistribution() - Method in class weka.classifiers.lazy.kstar.KStarNominalAttribute

Calculates the distribution, in the dataset, of the indexed nominal attribute values.

generateAttributeIndicesSingle() - Method in class weka.classifiers.trees.ADTree

Generates the m_nominalAttIndices and m_numericAttIndices arrays to index the respective attribute types in the training data.

generateClassifierForNode(Instances, Range, Random, Classifier, boolean, boolean) - Method in class weka.classifiers.meta.TreeBasedMultiClassClassifier

Generates a classifier for the current node and proceeds recursively

generateExample() - Method in class weka.datagenerators.BIRCHCluster

Generate an example of the dataset.

generateExample() - Method in class weka.datagenerators.ClusterGenerator

Generates one example of the dataset.

generateExample() - Method in class weka.datagenerators.Generator

Generates one example of the dataset.

generateExample() - Method in class weka.datagenerators.RDG1

Generate an example of the dataset dataset.

generateExample(Random, Instances) - Method in class weka.datagenerators.RDG1

Generates an example with its classvalue set to missing and binds it to the datasets.

generateExamples() - Method in class weka.datagenerators.BIRCHCluster

Generate all examples of the dataset.

generateExamples(Random, Instances) - Method in class weka.datagenerators.BIRCHCluster

Generate all examples of the dataset.

generateExamples() - Method in class weka.datagenerators.ClusterGenerator

Generates all examples of the dataset.

generateExamples() - Method in class weka.datagenerators.Generator

Generates all examples of the dataset.

generateExamples() - Method in class weka.datagenerators.RDG1

Generate all examples of the dataset.

generateExamples(int, Random, Instances) - Method in class weka.datagenerators.RDG1

Generate all examples of the dataset.

generateFinished() - Method in class weka.datagenerators.BIRCHCluster

Compiles documentation about the data generation after the generation process

generateFinished() - Method in class weka.datagenerators.ClusterGenerator

Generates a comment string that documentates the data generator.

generateFinished() - Method in class weka.datagenerators.Generator

Generates a comment string that documentats the data generator.

generateFinished() - Method in class weka.datagenerators.RDG1

Compiles documentation about the data generation.

generateInstance(Instances, Random, double, double[], String) - Method in class weka.datagenerators.BIRCHCluster

Generate an example of the dataset.

generateInstances(int[]) - Method in interface weka.gui.boundaryvisualizer.DataGenerator

Generate an instance.

generateInstances(int[]) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator

Generates a new instance using one kernel estimator.

generateMetaLevel(Instances, Random) - Method in class weka.classifiers.meta.Grading

Generates the meta data

generateMetaLevel(Instances, Random) - Method in class weka.classifiers.meta.Stacking

Generates the meta data

generateMetaLevel(Instances, Random) - Method in class weka.classifiers.meta.StackingC

Method that builds meta level.

generateNextSubset(int, int, BitSet) - Method in class weka.attributeSelection.ExhaustiveSearch

generates the next subset of size "size" given the subset "set" coded as an integer.

generateRandomClassColomns() - Method in class weka.classifiers.lazy.KStar

Note: for Nominal Class Only!

generateRandomSubset() - Method in class weka.attributeSelection.RandomSearch

generates a random subset

generateRankingTipText() - Method in class weka.attributeSelection.ForwardSelection

Returns the tip text for this property

generateRankingTipText() - Method in class weka.attributeSelection.RaceSearch

Returns the tip text for this property

generateRankingTipText() - Method in class weka.attributeSelection.Ranker

Returns the tip text for this property

generateRules(double, FastVector, int) - Method in class weka.associations.ItemSet

Generates all rules for an item set.

generateRulesBruteForce(double, int, FastVector, int, int, double) - Method in class weka.associations.ItemSet

Generates all significant rules for an item set.

generateStart() - Method in class weka.datagenerators.BIRCHCluster

Compiles documentation about the data generation before the generation process

generateStart() - Method in class weka.datagenerators.ClusterGenerator

Generates a comment string that documentates the data generator.

generateStructures() - Method in class weka.gui.treevisualizer.TreeBuild

This will go through all the found Nodes and Edges build instances of these and link them together.

generateTestList(Random, Instance) - Method in class weka.datagenerators.RDG1

Generates a new rule for the decision list and classifies the new example.

generation() - Method in class weka.attributeSelection.GeneticSearch

performs a single generation---selection, crossover, and mutation

get(int) - Method in class weka.attributeSelection.GeneticSearch.GABitSet

get the value of a bit in the chromosome

get(int) - Method in class weka.classifiers.functions.pace.DoubleVector

Gets a single element.

get(int) - Method in class weka.classifiers.functions.pace.IntVector

Gets the value of an element.

get(int, int) - Method in class weka.classifiers.functions.pace.Matrix

Get a single element.

getAccu() - Method in class weka.classifiers.rules.JRip.Antd

getAccu() - Method in class weka.classifiers.rules.Ridor.Antd

getAccuG() - Method in class weka.classifiers.rules.Ridor.RidorRule

getAccuRate() - Method in class weka.classifiers.rules.JRip.Antd

getAccuRate() - Method in class weka.classifiers.rules.Ridor.Antd

getAcuity() - Method in class weka.clusterers.Cobweb

get the acuity value

getAdjustWeights() - Method in class weka.filters.supervised.instance.SpreadSubsample

Returns true if instance weights will be adjusted to maintain total weight per class.

getAdvanceDataSetFirst() - Method in class weka.experiment.Experiment

Get the value of m_DataSetFirstFirst.

getAlpha() - Method in class weka.classifiers.bayes.BayesNet

Method declaration

getAlpha() - Method in class weka.classifiers.functions.Winnow

Get the value of Alpha.

getAlternateLabel(StringBuffer) - Method in class weka.classifiers.trees.UserClassifier.TreeClass

Returns a string containing a bit of information about this node, in alternate form.

getAnimatedIcon() - Method in class weka.gui.beans.BeanVisual

Returns the animated icon

getAppendPredictedProbabilities() - Method in class weka.gui.beans.PredictionAppender

Return true if predicted probabilities are to be appended rather than class value

getArffFile() - Method in class weka.gui.streams.InstanceLoader

getArffFile() - Method in class weka.gui.streams.InstanceSavePanel

getArray() - Method in class weka.classifiers.functions.pace.DoubleVector

Access the internal one-dimensional array.

getArray() - Method in class weka.classifiers.functions.pace.IntVector

Access the internal one-dimensional array.

getArray() - Method in class weka.classifiers.functions.pace.Matrix

Access the internal two-dimensional array.

getArrayCopy() - Method in class weka.classifiers.functions.pace.DoubleVector

Returns a copy of the DoubleVector usng a double array.

getArrayCopy() - Method in class weka.classifiers.functions.pace.IntVector

Returns a copy of the internal one-dimensional array.

getArrayCopy() - Method in class weka.classifiers.functions.pace.Matrix

Copy the internal two-dimensional array.

getArtificialSize() - Method in class weka.classifiers.meta.Decorate

Factor that determines number of artificial examples to generate.

getAsText() - Method in class weka.gui.CostMatrixEditor

Some objects can be represented as text, but a cost matrix cannot.

getAsText() - Method in class weka.gui.GenericArrayEditor

Returns null as we don't support getting/setting values as text.

getAsText() - Method in class weka.gui.GenericObjectEditor

Returns null as we don't support getting/setting values as text.

getAsText() - Method in class weka.gui.SelectedTagEditor

Gets the current value as text.

getAttIndex(int) - Method in class weka.classifiers.lazy.LBR.Indexes

Returns the boolean value at the specified index in the Attribute Indexes array

getAttList_Irr() - Method in class weka.datagenerators.RDG1

Gets the array that defines which of the attributes are seen to be irrelevant.

getAttr() - Method in class weka.classifiers.rules.ConjunctiveRule.Antd

getAttr() - Method in class weka.classifiers.rules.JRip.Antd

getAttr() - Method in class weka.classifiers.rules.Ridor.Antd

getAttrValue() - Method in class weka.classifiers.rules.ConjunctiveRule.Antd

getAttrValue() - Method in class weka.classifiers.rules.JRip.Antd

getAttrValue() - Method in class weka.classifiers.rules.Ridor.Antd

getAttribute1() - Method in class weka.gui.visualize.VisualizePanelEvent

getAttribute2() - Method in class weka.gui.visualize.VisualizePanelEvent

getAttributeEvaluator() - Method in class weka.attributeSelection.RaceSearch

Get the attribute evaluator used to generate the ranking.

getAttributeEvaluator() - Method in class weka.attributeSelection.RankSearch

Get the attribute evaluator used to generate the ranking.

getAttributeIndex() - Method in class weka.classifiers.functions.SimpleLinearRegression

Returns the index of the attribute used in the regression.

getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.Add

Get the index of the attribute used.

getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.AddNoise

Get the index of the attribute used.

getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.MakeIndicator

Get the index of the attribute used.

getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues

Get the index of the attribute used.

getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.StringToNominal

Get the index of the attribute used.

getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.SwapValues

Get the index of the attribute used.

getAttributeIndex() - Method in class weka.filters.unsupervised.instance.RemoveWithValues

Get the index of the attribute used.

getAttributeIndices() - Method in class weka.filters.supervised.attribute.Discretize

Gets the current range selection

getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries

Get the current range selection

getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Copy

Get the current range selection

getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Discretize

Gets the current range selection

getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.FirstOrder

Get the current range selection

getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NumericTransform

Get the current range selection

getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Remove

Get the current range selection.

getAttributeMax(int) - Method in class weka.classifiers.lazy.IBk

Get an attributes maximum observed value

getAttributeMax(int) - Method in class weka.classifiers.lazy.LWL

Gets an attributes maximum observed value

getAttributeMin(int) - Method in class weka.classifiers.lazy.IBk

Get an attributes minimum observed value

getAttributeMin(int) - Method in class weka.classifiers.lazy.LWL

Gets an attributes minimum observed value

getAttributeName() - Method in class weka.filters.unsupervised.attribute.Add

Get the name of the attribute to be created

getAttributeNamePrefix() - Method in class weka.filters.unsupervised.attribute.StringToWordVector

Get the attribute name prefix.

getAttributeSelectionMethod() - Method in class weka.classifiers.functions.LinearRegression

Gets the method used to select attributes for use in the linear regression.

getAttributeType() - Method in class weka.filters.unsupervised.attribute.RemoveType

Gets the attribute type to be deleted by the filter.

getAttributeTypeString() - Method in class weka.filters.unsupervised.attribute.RemoveType

Gets the attribute type to be deleted by the filter as a string.

getAttsToEliminatePerIteration() - Method in class weka.attributeSelection.SVMAttributeEval

Get the constant rate of attribute elimination per iteration

getAutoBuild() - Method in class weka.classifiers.functions.MultilayerPerceptron

getBagSizePercent() - Method in class weka.classifiers.meta.Bagging

Gets the size of each bag, as a percentage of the training set size.

getBagSizePercent() - Method in class weka.classifiers.meta.MetaCost

Gets the size of each bag, as a percentage of the training set size.

getBalanced() - Method in class weka.classifiers.functions.Winnow

Get the value of Balanced.

getBaseExperiment() - Method in class weka.experiment.RemoteExperiment

Get the base experiment used by this remote experiment

getBean() - Method in class weka.gui.beans.BeanInstance

Gets the bean encapsulated in this instance

getBeanContext() - Method in class weka.gui.beans.AbstractDataSource

Return the bean context (if any) that this bean is embedded in

getBeanContext() - Method in class weka.gui.beans.DataVisualizer

Return the bean context (if any) that this bean is embedded in

getBeanContext() - Method in class weka.gui.beans.TextViewer

Return the bean context (if any) that this bean is embedded in

getBeanDescriptor() - Method in class weka.gui.beans.ClassAssignerBeanInfo

getBeanDescriptor() - Method in class weka.gui.beans.ClassifierBeanInfo

Get the bean descriptor for this bean

getBeanDescriptor() - Method in class weka.gui.beans.CrossValidationFoldMakerBeanInfo

Return the bean descriptor for this bean

getBeanDescriptor() - Method in class weka.gui.beans.FilterBeanInfo

Get the bean descriptor for this bean

getBeanDescriptor() - Method in class weka.gui.beans.LoaderBeanInfo

Get the bean descriptor for this bean

getBeanDescriptor() - Method in class weka.gui.beans.PredictionAppenderBeanInfo

Return the bean descriptor for this bean

getBeanDescriptor() - Method in class weka.gui.beans.StripChartBeanInfo

Get the bean descriptor for this bean

getBeanDescriptor() - Method in class weka.gui.beans.TrainTestSplitMakerBeanInfo

Get the bean descriptor for this bean

getBeanInstances() - Static method in class weka.gui.beans.BeanInstance

Return the list of displayed beans

getBestCommitteeChunkSize() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost

Get the best committee chunk size

getBestCommitteeErrorEstimate() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost

Get the best committee's error on the validation data

getBestCommitteeLLEstimate() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost

Get the best committee's log likelihood on the validation data

getBestCommitteeSize() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost

Get the number of members in the best committee

getBestIteration(double[], int) - Method in class weka.classifiers.trees.lmt.LogisticBase

Helper function to find the minimum in an array of error values.

getBeta() - Method in class weka.classifiers.functions.Winnow

Get the value of Beta.

getBias() - Method in class weka.classifiers.BVDecompose

Get the calculated bias squared

getBias() - Method in class weka.classifiers.misc.VFI

Get the value of the bias parameter

getBiasToUniformClass() - Method in class weka.filters.supervised.instance.Resample

Gets the bias towards a uniform class.

getBinarizeNumericAttributes() - Method in class weka.attributeSelection.ChiSquaredAttributeEval

get whether numeric attributes are just being binarized.

getBinarizeNumericAttributes() - Method in class weka.attributeSelection.InfoGainAttributeEval

get whether numeric attributes are just being binarized.

getBinaryAttributesNominal() - Method in class weka.filters.supervised.attribute.NominalToBinary

Gets if binary attributes are to be treated as nominal ones.

getBinaryAttributesNominal() - Method in class weka.filters.unsupervised.attribute.NominalToBinary

Gets if binary attributes are to be treated as nominal ones.

getBinarySplits() - Method in class weka.classifiers.rules.PART

Get the value of binarySplits.

getBinarySplits() - Method in class weka.classifiers.trees.J48

Get the value of binarySplits.

getBins() - Method in class weka.filters.unsupervised.attribute.Discretize

Gets the number of bins numeric attributes will be divided into

getBins() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize

Ignored

getBoundsFile() - Method in class weka.classifiers.misc.FLR

Get boundaries File

getBuildLogisticModels() - Method in class weka.classifiers.functions.SMO

Get the value of buildLogisticModels.

getBuildRegressionTree() - Method in class weka.classifiers.trees.m5.M5Base

Get the value of regressionTree.

getC() - Method in class weka.classifiers.functions.SMO

Get the value of C.

getC() - Method in class weka.classifiers.functions.SMOreg

Get the value of C.

getCIndex() - Method in class weka.gui.visualize.VisualizePanel

Get the index of the attribute selected for coloring

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.

getCVisible() - Method in class weka.gui.treevisualizer.Node

Get If this node's childs are visible.

getCacheKeyName() - Method in class weka.experiment.DatabaseResultListener

Get the value of CacheKeyName.

getCacheSize() - Method in class weka.classifiers.functions.SMO

Get the size of the kernel cache

getCacheSize() - Method in class weka.classifiers.functions.SMOreg

Get the size of the kernel cache

getCacheValues(double) - Method in class weka.classifiers.lazy.kstar.KStarCache

Returns the values in the cache mapped by the specified key

getCalcOutOfBag() - Method in class weka.classifiers.meta.Bagging

Get whether the out of bag error is calculated.

getCalculateStdDevs() - Method in class weka.experiment.AveragingResultProducer

Get the value of CalculateStdDevs.

getCalculatedNumToSelect() - Method in class weka.attributeSelection.ForwardSelection

Gets the calculated number of attributes to retain.

getCalculatedNumToSelect() - Method in class weka.attributeSelection.RaceSearch

Gets the calculated number of attributes to retain.

getCalculatedNumToSelect() - Method in interface weka.attributeSelection.RankedOutputSearch

Gets the calculated number of attributes to retain.

getCalculatedNumToSelect() - Method in class weka.attributeSelection.Ranker

Gets the calculated number to select.

getCateg() - Method in class weka.classifiers.misc.FLR.FuzzyLattice

getCenter() - Method in class weka.datagenerators.BIRCHCluster.Cluster

getCenter() - Method in class weka.gui.treevisualizer.Node

Get the value of center.

getCenterValue(int) - Method in class weka.datagenerators.BIRCHCluster.Cluster

getChangeInWeights() - Method in class weka.classifiers.functions.neural.NeuralNode

call this function to get the chnage in weights array.

getCheckErrorRate() - Method in class weka.classifiers.rules.JRip

getChild(int) - Method in class weka.gui.treevisualizer.Node

Get the Edge for the child number 'i'.

getChildForBranch(int) - Method in class weka.classifiers.trees.adtree.Splitter

Gets the child for a branch of the split.

getChildForBranch(int) - Method in class weka.classifiers.trees.adtree.TwoWayNominalSplit

Gets the child for a branch of the split.

getChildForBranch(int) - Method in class weka.classifiers.trees.adtree.TwoWayNumericSplit

Gets the child for a branch of the split.

getChildren() - Method in class weka.classifiers.trees.adtree.PredictionNode

Gets the children of this node.

getChildren() - Method in interface weka.core.ClassHierarchy

Returns the hierarchy of classes as given by the children.

getChildren(Instances) - Method in interface weka.core.ClassHierarchy

Returns the childrenHierarchies as Map.

getChildren() - Method in class weka.core.ClassTree

Returns the hierarchy of classes as given by the children.

getChildren(Instances) - Method in class weka.core.ClassTree

Returns the childrenHierarchies as Map.

getChooseClassPopupMenu() - Method in class weka.gui.GenericObjectEditor

Returns a popup menu that allows the user to change the class of object.

getChromosome() - Method in class weka.attributeSelection.GeneticSearch.GABitSet

get the chromosome

getCindex() - Method in class weka.gui.visualize.PlotData2D

Get the currently set colouring index of the data

getClassColumn() - Method in class weka.gui.beans.ClassAssigner

getClassCounts() - Method in class weka.filters.supervised.attribute.ClassOrder

Get the class distribution of the sorted class values.

getClassFlag() - Method in class weka.datagenerators.ClusterGenerator

Gets the class flag.

getClassForIRStatistics() - Method in class weka.experiment.ClassifierSplitEvaluator

Get the value of ClassForIRStatistics.

getClassHierarchy() - Method in interface weka.core.converters.ClassHierarchyParser

Returns the ClassHierarchy decoded out of the given encodedHierarchy.

getClassHierarchy() - Method in class weka.core.converters.ClassTreeParser

Returns the classHierarchy encoded in the currently set encodedHierarchy.

getClassIndex() - Method in class weka.associations.Tertius

Get the value of classIndex.

getClassIndex() - Method in class weka.classifiers.BVDecompose

Get the index (starting from 1) of the attribute used as the class.

getClassIndex() - Method in class weka.classifiers.BVDecomposeSegCVSub

Get the index (starting from 1) of the attribute used as the class.

getClassIndex() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified

Gets the attribute on which misclassifications are based.

getClassIndices() - Method in class weka.filters.supervised.instance.SpreadSubsample

Creates an index containing the position where each class starts in the getInputFormat(). m_InputFormat must be sorted on the class attribute.

getClassName() - Method in class weka.classifiers.misc.FLR.FuzzyLattice

getClassName() - Method in class weka.filters.unsupervised.attribute.NumericTransform

Get the class containing the transformation method.

getClassOrder() - Method in class weka.filters.supervised.attribute.ClassOrder

Get the wanted class order

getClassOrdinal() - Method in class weka.classifiers.meta.TreeBasedMultiClassClassifier

Get whether class is ordinal.

getClassValue() - Method in class weka.datagenerators.RDG1.RuleList

getClassesFromProperties() - Method in class weka.gui.GenericObjectEditor

Called when the class of object being edited changes.

getClassesToClusters() - Method in class weka.clusterers.ClusterEvaluation

Return the array (ordered by cluster number) of minimum error class to cluster mappings

getClassification() - Method in class weka.associations.Tertius

Get the value of classification.

getClassifier() - Method in class weka.attributeSelection.ClassifierSubsetEval

Get the classifier used as the base learner.

getClassifier() - Method in class weka.attributeSelection.WrapperSubsetEval

Get the classifier used as the base learner.

getClassifier() - Method in class weka.classifiers.BVDecompose

Gets the name of the classifier being analysed

getClassifier() - Method in class weka.classifiers.BVDecomposeSegCVSub

Gets the name of the classifier being analysed

getClassifier() - Method in class weka.classifiers.CheckClassifier

Get the classifier used as the classifier

getClassifier(int) - Method in class weka.classifiers.MultipleClassifiersCombiner

Gets a single classifier from the set of available classifiers.

getClassifier() - Method in class weka.classifiers.SingleClassifierEnhancer

Get the classifier used as the base learner.

getClassifier() - Method in class weka.classifiers.meta.AdditiveRegression

Gets the classifier used.

getClassifier() - Method in class weka.classifiers.meta.AttributeSelectedClassifier

Gets the classifier used.

getClassifier() - Method in class weka.classifiers.meta.CostSensitiveClassifier

Gets the classifier used.

getClassifier() - Method in class weka.classifiers.meta.Decorate

Get the classifier used as the base classifier

getClassifier() - Method in class weka.classifiers.meta.FilteredClassifier

Gets the classifier used.

getClassifier() - Method in class weka.classifiers.meta.MultiClassClassifier

Get the classifier used as the classifier

getClassifier(int) - Method in class weka.classifiers.meta.MultiScheme

Gets a single classifier from the set of available classifiers.

getClassifier() - Method in class weka.classifiers.meta.ND

Get the classifier used as the classifier

getClassifier() - Method in class weka.classifiers.meta.OrdinalClassClassifier

Get the classifier used as the classifier

getClassifier() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost

Get the classifier used as the classifier

getClassifier() - Method in class weka.classifiers.meta.ThresholdSelector

Get the Classifier used as the classifier.

getClassifier() - Method in class weka.classifiers.meta.TreeBasedMultiClassClassifier

Get the classifier used as the classifier * * @return the classifier used as the classifier

getClassifier() - Method in class weka.experiment.ClassifierSplitEvaluator

Get the value of Classifier.

getClassifier() - Method in class weka.experiment.RegressionSplitEvaluator

Get the value of Classifier.

getClassifier() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified

Gets the classifier used by the filter.

getClassifier() - Method in class weka.gui.beans.BatchClassifierEvent

Get the classifier

getClassifier() - Method in class weka.gui.beans.Classifier

Get the classifier currently set for this wrapper

getClassifier() - Method in class weka.gui.beans.IncrementalClassifierEvent

Get the classifier

getClassifierSpec(int) - Method in class weka.classifiers.MultipleClassifiersCombiner

Gets the classifier specification string, which contains the class name of the classifier and any options to the classifier

getClassifierSpec() - Method in class weka.classifiers.SingleClassifierEnhancer

Gets the classifier specification string, which contains the class name of the classifier and any options to the classifier

getClassifierSpec() - Method in class weka.classifiers.meta.AdditiveRegression

Gets the classifier specification string, which contains the class name of the classifier and any options to the classifier

getClassifierSpec() - Method in class weka.classifiers.meta.AttributeSelectedClassifier

Gets the classifier specification string, which contains the class name of the classifier and any options to the classifier

getClassifierSpec() - Method in class weka.classifiers.meta.CostSensitiveClassifier

Gets the classifier specification string, which contains the class name of the classifier and any options to the classifier

getClassifierSpec() - Method in class weka.classifiers.meta.FilteredClassifier

Gets the classifier specification string, which contains the class name of the classifier and any options to the classifier

getClassifierSpec() - Method in class weka.classifiers.meta.MetaCost

Gets the classifier specification string, which contains the class name of the classifier and any options to the classifier

getClassifierSpec(int) - Method in class weka.classifiers.meta.MultiScheme

Gets the classifier specification string, which contains the class name of the classifier and any options to the classifier

getClassifierSpec() - Method in class weka.classifiers.meta.ThresholdSelector

Gets the classifier specification string, which contains the class name of the classifier and any options to the classifier

getClassifierSpec() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified

Gets the classifier specification string, which contains the class name of the classifier and any options to the classifier.

getClassifiers() - Method in class weka.classifiers.MultipleClassifiersCombiner

Gets the list of possible classifers to choose from.

getClassifiers() - Method in class weka.classifiers.meta.MultiScheme

Gets the list of possible classifers to choose from.

getClassifyIterations() - Method in class weka.classifiers.BVDecomposeSegCVSub

Gets the number of times an instance is classified

getClearEachDataset() - Method in class weka.gui.streams.InstanceViewer

getClosestConnections(Point, int) - Static method in class weka.gui.beans.BeanConnection

Return a list of connections within some delta of a point

getClosestConnectorPoint(Point) - Method in class weka.gui.beans.BeanVisual

Returns the coordinates of the closest "connector" point to the supplied point.

getClusterAssignments() - Method in class weka.clusterers.ClusterEvaluation

Return an array of cluster assignments corresponding to the most recent set of instances clustered.

getClusterModelsNumericAtts() - Method in class weka.clusterers.EM

Return the normal distributions for the cluster models

getClusterPriors() - Method in class weka.clusterers.EM

Return the priors for the clusters

getClusterer() - Method in class weka.clusterers.MakeDensityBasedClusterer

Gets the clusterer being wrapped.

getClusterer() - Method in class weka.filters.unsupervised.attribute.AddCluster

Gets the clusterer used by the filter.

getClustererSpec() - Method in class weka.filters.unsupervised.attribute.AddCluster

Gets the clusterer specification string, which contains the class name of the clusterer and any options to the clusterer.

getClusteringSeed() - Method in class weka.classifiers.functions.RBFNetwork

Get the random seed used by K-means.

getCoefficients() - Method in class weka.classifiers.trees.lmt.LMTNode

Returns an array containing the coefficients of the logistic regression function at this node.

getCoefficients() - Method in class weka.classifiers.trees.lmt.LogisticBase

Returns an array holding the coefficients of the logistic model.

getColHeader() - Method in class weka.gui.visualize.MatrixPanel.Plot

getColor() - Method in class weka.gui.treevisualizer.Node

Get the value of color.

getColorBox() - Method in class weka.gui.AttributeVisualizationPanel

getColoringIndex() - Method in class weka.gui.AttributeVisualizationPanel

Get the coloring index for the plot

getColoringIndex() - Method in class weka.gui.beans.AttributeSummarizer

Return the coloring index for the attribute summary plots

getColors() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel

Get the current vector of Color objects used for the classes

getColumn(int) - Method in class weka.classifiers.functions.pace.PaceMatrix

Return a DoubleVector that stores a column of the matrix

getColumn(int, int, int) - Method in class weka.classifiers.functions.pace.PaceMatrix

Return a DoubleVector that stores some elements of a column of the matrix

getColumn(int) - Method in class weka.core.Matrix

Gets a column of the matrix and returns it as a double array.

getColumnClass(int) - Method in class weka.gui.AttributeListPanel.AttributeTableModel

Gets the class of elements in a column.

getColumnClass(int) - Method in class weka.gui.AttributeSelectionPanel.AttributeTableModel

Gets the class of elements in a column.

getColumnClass(int) - Method in class weka.gui.CostMatrixEditor.CostMatrixTableModel

Indicates the class of the objects within a column of the table.

getColumnClass(int) - Method in class weka.gui.graphvisualizer.GraphVisualizer.GraphVisualizerTableModel

getColumnCount() - Method in class weka.gui.AttributeListPanel.AttributeTableModel

Gets the number of columns: 2

getColumnCount() - Method in class weka.gui.AttributeSelectionPanel.AttributeTableModel

Gets the number of columns: 3

getColumnCount() - Method in class weka.gui.CostMatrixEditor.CostMatrixTableModel

Gets the number of columns in the matrix.

getColumnCount() - Method in class weka.gui.graphvisualizer.GraphVisualizer.GraphVisualizerTableModel

getColumnDimension() - Method in class weka.classifiers.functions.pace.Matrix

Get column dimension.

getColumnName(int) - Method in class weka.gui.AttributeListPanel.AttributeTableModel

Gets the name for a column.

getColumnName(int) - Method in class weka.gui.AttributeSelectionPanel.AttributeTableModel

Gets the name for a column.

getColumnName(int) - Method in class weka.gui.graphvisualizer.GraphVisualizer.GraphVisualizerTableModel

getColumnPackedCopy() - Method in class weka.classifiers.functions.pace.Matrix

Make a one-dimensional column packed copy of the internal array.

getCommand() - Method in class weka.gui.treevisualizer.TreeDisplayEvent

getCompatibilityState() - Method in class weka.experiment.AveragingResultProducer

Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).

getCompatibilityState() - Method in class weka.experiment.CrossValidationResultProducer

Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).

getCompatibilityState() - Method in class weka.experiment.DatabaseResultProducer

Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).

getCompatibilityState() - Method in class weka.experiment.LearningRateResultProducer

Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).

getCompatibilityState() - Method in class weka.experiment.RandomSplitResultProducer

Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).

getCompatibilityState() - Method in interface weka.experiment.ResultProducer

Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).

getComplexityParameter() - Method in class weka.attributeSelection.SVMAttributeEval

Get the value of C used with SMO

getConfidenceFactor() - Method in class weka.classifiers.rules.PART

Get the value of CF.

getConfidenceFactor() - Method in class weka.classifiers.trees.J48

Get the value of CF.

getConfirmation() - Method in class weka.associations.tertius.Rule

Get the confirmation value of this rule.

getConfirmationThreshold() - Method in class weka.associations.Tertius

Get the value of confirmationThreshold.

getConfirmationValues() - Method in class weka.associations.Tertius

Get the value of confirmationValues.

getConfusionMatrix() - Method in class weka.classifiers.evaluation.TwoClassStats

Generates a ConfusionMatrix representing the current two-class statistics, using class names "negative" and "positive".

getConnections() - Static method in class weka.gui.beans.BeanConnection

Returns the list of connections

getConnectorPoint(int) - Method in class weka.gui.beans.BeanVisual

Returns the coordinates of the connector point given a compass point

getConsequent() - Method in class weka.classifiers.rules.JRip.RipperRule

getConsequent() - Method in class weka.classifiers.rules.Rule

Get the consequent of this rule, i.e. the predicted class

getControlPanel() - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine

This method returns a handle to the extra controls panel, so that the visualizing class can add it to some of it's own gui panel.

getControlPanel() - Method in interface weka.gui.graphvisualizer.LayoutEngine

This method returns the extra controls panel for the LayoutEngine, if there is any.

getConvertNominal() - Method in class weka.classifiers.trees.LMT

Get the value of convertNominal.

getCostMatrix() - Method in class weka.classifiers.meta.CostSensitiveClassifier

Gets the misclassification cost matrix.

getCostMatrix() - Method in class weka.classifiers.meta.MetaCost

Gets the misclassification cost matrix.

getCostMatrixSource() - Method in class weka.classifiers.meta.CostSensitiveClassifier

Gets the source location method of the cost matrix.

getCostMatrixSource() - Method in class weka.classifiers.meta.MetaCost

Gets the source location method of the cost matrix.

getCount(double) - Method in class weka.classifiers.bayes.DiscreteEstimatorBayes

Get a counts for a value

getCount(Node, int) - Static method in class weka.gui.treevisualizer.Node

Recursively finds the number of visible nodes there are (this may accidentally count some of the invis nodes).

getCounterInstancesFrequency() - Method in class weka.associations.tertius.LiteralSet

Get the frequency of counter-instances of this LiteralSet in the data.

getCounterInstancesNumber() - Method in class weka.associations.tertius.LiteralSet

Get the number of counter-instances of this LiteralSet.

getCounts(int[], int[], int[], int, int, boolean) - Method in class weka.classifiers.bayes.ADNode

get counts for specific instantiation of a set of nodes

getCounts(int[], int[], int[], int, int, ADNode, boolean) - Method in class weka.classifiers.bayes.VaryNode

get counts for specific instantiation of a set of nodes

getCover() - Method in class weka.classifiers.rules.JRip.Antd

getCover() - Method in class weka.classifiers.rules.Ridor.Antd

getCoverG() - Method in class weka.classifiers.rules.Ridor.RidorRule

getCoverP() - Method in class weka.classifiers.rules.Ridor.RidorRule

getCoveredClasses() - Method in interface weka.core.ClassHierarchy

Returns the classes covered by this hierarchy splitted into several arrays according to their distribution into several superclasses (reflecting the distribution on several children of this hierarchy).

getCoveredClasses() - Method in class weka.core.ClassTree

Returns the classes covered by this hierarchy splitted into several arrays according to their distribution into several superclasses (reflecting the distribution on several children of this hierarchy).

getCoveredClassesFlat() - Method in interface weka.core.ClassHierarchy

Returns the class-names covered by this node of the hierarchy.

getCoveredClassesFlat() - Method in class weka.core.ClassTree

Returns the class-names covered by this node of the hierarchy.

getCrossVal() - Method in class weka.classifiers.rules.DecisionTable

Gets the number of folds for cross validation

getCrossValidate() - Method in class weka.classifiers.lazy.IBk

Gets whether hold-one-out cross-validation will be used to select the best k value

getCrossoverProb() - Method in class weka.attributeSelection.GeneticSearch

get the probability of crossover

getCurrentDatasetNumber() - Method in class weka.experiment.Experiment

When an experiment is running, this returns the current dataset number.

getCurrentInstance() - Method in class weka.gui.beans.IncrementalClassifierEvent

Get the current instance

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.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.

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.

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

getCutoff() - Method in class weka.clusterers.Cobweb

get the cutoff

getData() - Method in class weka.classifiers.rules.RuleStats

Get the data of the stats

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

getDataPoint() - Method in class weka.gui.beans.ChartEvent

Get the data point

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.CSVLoader

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.TreeLoader

getDataSet() - Method in class weka.gui.beans.DataSetEvent

Return the instances of the data set

getDatabaseURL() - Method in class weka.experiment.DatabaseUtils

Get the value of DatabaseURL.

getDatasetFormat() - Method in class weka.datagenerators.BIRCHCluster

Gets the dataset format.

getDatasetFormat() - Method in class weka.datagenerators.RDG1

Gets the dataset format.

getDatasetKeyColumns() - Method in class weka.experiment.PairedTTester

Get the value of DatasetKeyColumns.

getDatasets() - Method in class weka.experiment.Experiment

Gets the datasets in the experiment.

getDebug() - Method in class weka.attributeSelection.RaceSearch

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.CheckClassifier

Get 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.meta.AdditiveRegression

Gets whether debugging has been turned on

getDebug() - Method in class weka.classifiers.meta.Decorate

Get whether debugging is turned on

getDebug() - Method in class weka.classifiers.meta.MultiScheme

Get whether debugging is turned on

getDebug() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost

Get whether debugging is turned on

getDebug() - Method in class weka.classifiers.rules.JRip

getDebug() - Method in class weka.classifiers.trees.RandomTree

Get the value of Debug.

getDebug() - Method in class weka.clusterers.EM

Get debug mode

getDebug() - Method in class weka.datagenerators.ClusterGenerator

Gets the debug flag.

getDebug() - Method in class weka.datagenerators.Generator

Gets the debug flag.

getDebug() - Method in class weka.filters.unsupervised.attribute.AddExpression

Gets whether debug is set

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

getDecay() - Method in class weka.classifiers.functions.MultilayerPerceptron

getDefClass() - Method in class weka.classifiers.rules.Ridor.Ridor_node

"Get" member functions

getDefaultWeight() - Method in class weka.classifiers.functions.Winnow

Get the value of defaultWeight.

getDelimiters() - Method in class weka.filters.unsupervised.attribute.StringToWordVector

Get the value of delimiters.

getDelta() - Method in class weka.associations.Apriori

Get the value of delta.

getDensityBasedClusterer() - Method in class weka.filters.unsupervised.attribute.ClusterMembership

Get the clusterer used by this filter

getDescription() - Method in class weka.gui.ExtensionFileFilter

Gets the description of accepted files.

getDesignatedClass() - Method in class weka.classifiers.meta.ThresholdSelector

Gets the method to determine which class value to optimize.

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.

getDirection() - Method in class weka.attributeSelection.BestFirst

Get the search direction

getDisplayRules() - Method in class weka.classifiers.rules.DecisionTable

Gets whether rules are being printed

getDistMult() - Method in class weka.datagenerators.BIRCHCluster

Gets the distance multiplier.

getDistanceWeighting() - Method in class weka.classifiers.lazy.IBk

Gets the distance weighting method used.

getDistribution() - Method in class weka.filters.unsupervised.attribute.RandomProjection

Returns the current distribution that'll be used for calculating the random matrix

getDistributionSpread() - Method in class weka.filters.supervised.instance.SpreadSubsample

Gets the value for the distribution spread

getDistributions(int) - Method in class weka.classifiers.rules.RuleStats

Get the class distribution predicted by the rule in given position

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.

getElement(int, int) - Method in class weka.core.Matrix

Returns the value of a cell in the matrix.

getEliminateColinearAttributes() - Method in class weka.classifiers.functions.LinearRegression

Get the value of EliminateColinearAttributes.

getEncodedHierarchy() - Method in interface weka.core.converters.ClassHierarchyParser

Returns the currently set encoded hierarchy.

getEncodedHierarchy() - Method in class weka.core.converters.ClassTreeFileParser

Returns the name of the file providing the encodeHierarchy.

getEncodedHierarchy() - Method in class weka.core.converters.ClassTreeParser

Returns the currently encoded hierarchy.

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.

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.

getEpsilonParameter() - Method in class weka.attributeSelection.SVMAttributeEval

Get the value of P used with SMO

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.LMT

Get the value of errorOnProbabilities.

getErrorRate(Instances) - Method in class weka.classifiers.trees.lmt.LogisticBase

Returns the misclassification error of the current model on a set of instances.

getEstimatedErrors() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree

Computes estimated errors for tree.

getEstimatedErrorsForBranch(Instances) - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree

Computes estimated errors for one branch.

getEstimatedErrorsForDistribution(Distribution) - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree

Computes estimated errors for leaf.

getEstimatedErrorsForLeaf() - Method in class weka.classifiers.rules.part.C45PruneableDecList

Computes estimated errors for leaf.

getEstimatedErrorsForTree() - Method in class weka.classifiers.rules.part.C45PruneableDecList

Computes estimated errors for tree.

getEstimator() - Method in class weka.classifiers.functions.PaceRegression

Gets 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

getEvalUsingTrainingData() - Method in class weka.attributeSelection.OneRAttributeEval

Returns true if the training data is to be used for evaluation

getEvaluationMode() - Method in class weka.classifiers.meta.ThresholdSelector

Gets the evaluation mode used.

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

getEvaluatorSpec() - Method in class weka.classifiers.meta.AttributeSelectedClassifier

Gets the evaluator specification string, which contains the class name of the attribute evaluator and any options to it

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.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.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.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.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

getExcepts() - Method in class weka.classifiers.rules.Ridor.Ridor_node

getExclusive() - Method in class weka.classifiers.rules.ConjunctiveRule

getExecutionStatus() - Method in class weka.experiment.TaskStatusInfo

Get the execution status of this Task.

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.

getExponent() - Method in class weka.classifiers.functions.SMO

Get the value of exponent.

getExponent() - Method in class weka.classifiers.functions.SMOreg

Get the value of exponent.

getExponent() - Method in class weka.classifiers.functions.VotedPerceptron

Get the value of exponent.

getExpression() - Method in class weka.filters.unsupervised.attribute.AddExpression

Get the expression

getFMeasure() - Method in class weka.classifiers.evaluation.TwoClassStats

Calculate the F-Measure.

getFPRate() - Method in class weka.associations.tertius.Rule

Get the rate of False Positive instances of this rule.

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.

getFeatureSpaceNormalization() - Method in class weka.classifiers.functions.SMO

Check whether feature spaces is being normalized.

getFeatureSpaceNormalization() - Method in class weka.classifiers.functions.SMOreg

Check whether feature spaces is being normalized.

getFile() - Method in class weka.core.converters.ArffLoader

get the File specified as the source

getFileStem() - Method in class weka.gui.beans.CSVDataSink

Gets the destination file stem

getFilesRecursively(File, Vector) - Method in class weka.gui.experiment.DatasetListPanel

Gets all the files in the given directory that match the currently selected extension.

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.classifiers.meta.FilteredClassifier

Gets the filter used.

getFilter() - Method in class weka.gui.beans.Filter

getFilterSpec() - Method in class weka.classifiers.meta.FilteredClassifier

Gets the filter specification string, which contains the class name of the filter and any options to the filter

getFilterType() - Method in class weka.attributeSelection.SVMAttributeEval

Get the filtering mode passed to SMO

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.

getFiltered(int) - Method in class weka.classifiers.rules.RuleStats

Get the data after filtering the given rule

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) - Method in class weka.core.Instances

Gets next token, skipping empty lines.

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.

getFitness() - Method in class weka.attributeSelection.GeneticSearch.GABitSet

gets the scaled fitness

getFlag(char, String[]) - Static method in class weka.core.Utils

Checks if the given array contains the flag "-Char".

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.

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.rules.ConjunctiveRule

getFolds() - Method in class weka.classifiers.rules.JRip

getFolds() - Method in class weka.classifiers.rules.Ridor

getFolds() - Method in class weka.gui.beans.CrossValidationFoldMaker

Get the currently set number of folds

getFoldsType() - Method in class weka.attributeSelection.RaceSearch

Get the xfold type

getFormat() - Method in class weka.datagenerators.ClusterGenerator

Gets the format of the dataset that is to be generated.

getFormat() - Method in class weka.datagenerators.Generator

Gets the format of the dataset that is to be generated.

getFrequencyLimitForParentAttributes() - Method in class weka.classifiers.bayes.AODE

Return the frequency limit for parent attributes

getFrequencyThreshold() - Method in class weka.associations.Tertius

Get the value of frequencyThreshold.

getFs(Instance) - Method in class weka.classifiers.trees.lmt.LMTNode

Computes the F-values of LogitBoost for an instance from the current logistic model at the node Note that this also takes into account the (partial) logistic model fit at higher levels in the tree.

getFs(Instance) - Method in class weka.classifiers.trees.lmt.LogisticBase

Computes the F-values for a single instance.

getFs(Instances) - Method in class weka.classifiers.trees.lmt.LogisticBase

Computes the F-values for a set of instances.

getFunctionValue(int) - Method in class weka.classifiers.functions.pace.DiscreteFunction

Gets a particular function value

getFunctionValues() - Method in class weka.classifiers.functions.pace.DiscreteFunction

Gets all function values

getGCount(Node, int) - Static method in class weka.gui.treevisualizer.Node

Recursively finds the number of visible groups of siblings there are.

getGUI() - Method in class weka.classifiers.functions.MultilayerPerceptron

getGamma() - Method in class weka.classifiers.functions.SMO

Get the value of gamma.

getGamma() - Method in class weka.classifiers.functions.SMOreg

Get the value of gamma.

getGenerateRanking() - Method in class weka.attributeSelection.ForwardSelection

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.

getGenerateRules() - Method in class weka.classifiers.trees.m5.M5Base

get whether rules are being generated rather than a tree

getGeneratorSamplesBase() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel

Get the base used for computing the number of samples to obtain from each generator

getGenericOptions() - Method in class weka.datagenerators.ClusterGenerator

Gets the current generic settings of the datagenerator.

getGenericOptions() - Method in class weka.datagenerators.Generator

Gets the current generic settings of the datagenerator.

getGlobalBlend() - Method in class weka.classifiers.lazy.KStar

Get the value of the global blend parameter

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

getGridFlag() - Method in class weka.datagenerators.BIRCHCluster

Gets the grid flag (option G).

getGridVector() - Method in class weka.datagenerators.BIRCHCluster.GridVector

getGridWidth() - Method in class weka.gui.beans.AttributeSummarizer

Get the width of the grid of plots

getGroup() - Method in class weka.attributeSelection.BestFirst.Link2

Get a group

getGroup() - Method in class weka.classifiers.rules.DecisionTable.Link

Gets the group.

getHashtable(FastVector, int) - Static method in class weka.associations.ItemSet

Return a hashtable filled with the given item sets.

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.

getHeuristicStop() - Method in class weka.classifiers.functions.SimpleLogistic

Get the value of heuristicStop.

getHiddenLayers() - Method in class weka.classifiers.functions.MultilayerPerceptron

getHoldOutFile() - Method in class weka.attributeSelection.ClassifierSubsetEval

Gets the file that holds hold out/test instances.

getHornClauses() - Method in class weka.associations.Tertius

Get the value of hornClauses.

getID() - Method in class weka.core.Tag

Gets the numeric ID of the Tag.

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.

getId() - Method in class weka.classifiers.functions.neural.NeuralConnection

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.

getIndex() - Method in class weka.associations.tertius.Predicate

getIndex(StreamTokenizer) - Method in class weka.core.Instances

Gets index, checking for a premature and of line.

getIndex() - Method in class weka.core.SingleIndex

Gets the selected index

getIndices(int) - Method in class weka.classifiers.meta.MultiClassClassifier.Code

Returns the indices of the values set to true for this code, using 1-based indexing (for input to Range).

getIndices() - Method in class weka.classifiers.meta.ND.NDTree

Gets the indices in an array of ints.

getInfo() - Method in class weka.classifiers.rules.ConjunctiveRule.Antd

getInitAsNaiveBayes() - Method in class weka.classifiers.bayes.BayesNet

Method declaration

getInputFormat() - Method in class weka.filters.Filter

Gets the currently set inputformat instances.

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.BIRCHCluster

Gets the input order.

getInputStringIndex() - Method in class weka.filters.Filter

Returns an array containing the indices of all string attributes in the input format.

getInputs() - Method in class weka.classifiers.functions.neural.NeuralConnection

Use this to get easy access to the inputs.

getInstNum() - Method in class weka.datagenerators.BIRCHCluster.Cluster

getInstNums() - Method in class weka.datagenerators.BIRCHCluster

Gets the upper and lower boundary for instances per cluster.

getInstance(StreamTokenizer, boolean) - Method in class weka.core.Instances

Reads a single instance using the tokenizer and appends it to the dataset.

getInstance(StreamTokenizer) - Method in class weka.core.converters.C45Loader

Reads an instance using the supplied tokenizer.

getInstance(StreamTokenizer) - Method in class weka.core.converters.CSVLoader

Attempts to parse a line of the data set.

getInstance() - Method in class weka.gui.beans.InstanceEvent

Get the instance

getInstanceFull(StreamTokenizer, boolean) - Method in class weka.core.Instances

Reads a single instance using the tokenizer and appends it to the dataset.

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.

getInstanceSparse(StreamTokenizer, boolean) - Method in class weka.core.Instances

Reads a single instance using the tokenizer and appends it to the dataset.

getInstances() - Method in class weka.experiment.PairedTTester

Get the value 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.boundaryvisualizer.BoundaryVisualizer

Get the training instances

getInstances() - Method in class weka.gui.explorer.PreprocessPanel

Gets the working set of instances.

getInstances() - Method in class weka.gui.treevisualizer.Node

This will return the Instances object related to this node.

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

getInstancesIndices() - Method in class weka.filters.unsupervised.instance.RemoveRange

Gets ranges of instances selected.

getIntercept() - Method in class weka.classifiers.functions.SimpleLinearRegression

Returns the intercept of the function.

getInvert() - Method in class weka.core.Range

Gets whether the range sense is inverted, i.e. all except the values included by the range string are selected.

getInvert() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified

Get whether selection is inverted.

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.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.NumericTransform

Get whether the supplied columns are to be transformed or not

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.instance.RemoveFolds

Gets if selection is to be inverted.

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

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.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.

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

getKernelBandwidth() - Method in class weka.gui.boundaryvisualizer.KDDataGenerator

Get the kernel bandwidth

getKey() - Method in class weka.experiment.ClassifierSplitEvaluator

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.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.

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.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.

getL() - Method in class weka.core.Matrix

Returns the L part of the matrix.

getLabel(StringBuffer) - Method in class weka.classifiers.trees.UserClassifier.TreeClass

Returns a string containing a bit of information about this node.

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.

getLast() - Method in class weka.associations.tertius.SimpleLinkedList

getLastLiteral() - Method in class weka.associations.tertius.LiteralSet

Give the last literal added to this set.

getLastToken(StreamTokenizer, boolean) - Method in class weka.core.Instances

Gets token and checks if its end of line.

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.

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.

getLink() - Method in class weka.classifiers.functions.MultilayerPerceptron.NeuralEnd

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.classifiers.rules.DecisionTable.LinkedList

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.GenericArrayEditor.EditorListCellRenderer

Creates a cell rendering component.

getListCellRendererComponent(JList, Object, int, boolean, boolean) - Method in class weka.gui.experiment.AlgorithmListPanel.ObjectCellRenderer

getLiteral(int) - Method in class weka.associations.tertius.Predicate

getLoader() - Method in class weka.gui.beans.Loader

Get the loader

getLocallyPredictive() - Method in class weka.attributeSelection.CfsSubsetEval

Return true if including locally predictive attributes

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.

getLower() - Method in class weka.gui.experiment.RunNumberPanel

Gets the current lower run number.

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.

getLowerOrderTerms() - Method in class weka.classifiers.functions.SMO

Check whether lower-order terms are being used.

getLowerOrderTerms() - Method in class weka.classifiers.functions.SMOreg

Check whether lower-order terms are being used.

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

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.

getMargins(FastVector) - Method in class weka.classifiers.evaluation.MarginCurve

Pulls all the margin values out of a vector of NominalPredictions.

getMasterPlot() - Method in class weka.gui.visualize.Plot2D

Get the master plot

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.classifiers.functions.pace.Matrix

Get a submatrix.

getMatrix(int[], int[]) - Method in class weka.classifiers.functions.pace.Matrix

Get a submatrix.

getMatrix(int, int, int[]) - Method in class weka.classifiers.functions.pace.Matrix

Get a submatrix.

getMatrix(int[], int, int) - Method in class weka.classifiers.functions.pace.Matrix

Get a submatrix.

getMax(int) - Method in class weka.classifiers.misc.FLR.FuzzyLattice

getMax() - Method in class weka.gui.beans.ChartEvent

Get the max y value

getMaxBoostingIterations() - Method in class weka.classifiers.functions.SimpleLogistic

Get the value of maxBoostingIterations.

getMaxBorder(int) - Method in class weka.classifiers.rules.NNge.Exemplar

Returns the value of the sup border of the hyperrectangle Returns NaN if the HyperRectangle doesn't have any border for this attribute

getMaxC() - Method in class weka.gui.visualize.Plot2D

Return the current max value of the colouring attribute

getMaxChunkSize() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost

Get the maximum chunk size

getMaxCost(int) - 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

getMaxDepth() - Method in class weka.classifiers.trees.REPTree

Get the value of MaxDepth.

getMaxGenerations() - Method in class weka.attributeSelection.GeneticSearch

get the number of generations

getMaxInfoGain() - Method in class weka.classifiers.rules.ConjunctiveRule.Antd

getMaxInfoGain() - Method in class weka.classifiers.rules.JRip.Antd

getMaxInfoGain() - Method in class weka.classifiers.rules.Ridor.Antd

getMaxInstNum() - Method in class weka.datagenerators.BIRCHCluster

Gets the upper boundary for instances per cluster.

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.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.

getMaxModels() - Method in class weka.classifiers.meta.AdditiveRegression

Get the max number of models to generate

getMaxNrOfParents() - Method in class weka.classifiers.bayes.BayesNet

Method declaration

getMaxPlots() - Method in class weka.gui.beans.AttributeSummarizer

Get the number of plots to display

getMaxRadius() - Method in class weka.datagenerators.BIRCHCluster

Gets the upper boundary for the radiuses of the clusters.

getMaxRuleSize() - Method in class weka.datagenerators.RDG1

Gets the maximum number of tests in rules.

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.TestSetEvent

Get the maximum set number

getMaxSetNumber() - Method in class weka.gui.beans.TrainingSetEvent

Get the maximum set number

getMaxStale() - Method in class weka.classifiers.rules.DecisionTable

Gets the number of non improving decision tables

getMaxX() - Method in class weka.gui.visualize.Plot2D

Return the current max value of the attribute plotted on the x axis

getMaxY() - Method in class weka.gui.visualize.Plot2D

Return the current max value of the attribute plotted on the y axis

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.

getMeanAbsoluteError(Instances) - Method in class weka.classifiers.trees.lmt.LogisticBase

Returns the error of the probability estimates for the current model on a set of instances.

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.

getMeasure(String) - Method in class weka.classifiers.functions.SimpleLogistic

Returns the value of the named measure

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.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.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.J48

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.REPTree

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.m5.M5Base

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.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.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

getMedian() - Method in class weka.classifiers.functions.LeastMedSq

finds the median residual squared for the current regression

getMerit() - Method in class weka.classifiers.rules.DecisionTable.Link

Gets the merit.

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.

getMethod() - Method in class weka.classifiers.functions.neural.NeuralNode

getMethod() - Method in class weka.classifiers.meta.MultiClassClassifier

Gets the method used.

getMethodName() - Method in class weka.filters.unsupervised.attribute.NumericTransform

Get the transformation method.

getMetricType() - Method in class weka.associations.Apriori

Get the metric type

getMin(int) - Method in class weka.classifiers.misc.FLR.FuzzyLattice

getMin() - Method in class weka.gui.beans.ChartEvent

Get the min y value

getMinBorder(int) - Method in class weka.classifiers.rules.NNge.Exemplar

Returns the value of the inf border of the Exemplar.

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

getMinChunkSize() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost

Get the minimum chunk size

getMinFunction() - Method in class weka.core.Optimization

Get the minimal function value

getMinInstNum() - Method in class weka.datagenerators.BIRCHCluster

Gets the lower boundary for instances per cluster.

getMinMetric() - Method in class weka.associations.Apriori

Get the value of minConfidence.

getMinNo() - Method in class weka.classifiers.rules.ConjunctiveRule

getMinNo() - Method in class weka.classifiers.rules.JRip

getMinNo() - Method in class weka.classifiers.rules.Ridor

getMinNum() - Method in class weka.classifiers.trees.REPTree

Get the value of MinNum.

getMinNum() - Method in class weka.classifiers.trees.RandomTree

Get the value of MinNum.

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.J48

Get the value of minNumObj.

getMinRadius() - Method in class weka.datagenerators.BIRCHCluster

Gets the lower boundary for the radiuses of the clusters.

getMinRuleSize() - Method in class weka.datagenerators.RDG1

Gets the minimum number of tests in rules.

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.

getMinVarianceProp() - Method in class weka.classifiers.trees.REPTree

Get the value of MinVarianceProp.

getMinX() - Method in class weka.gui.visualize.Plot2D

Return the current min value of the attribute plotted on the x axis

getMinY() - Method in class weka.gui.visualize.Plot2D

Return the current min value of the attribute plotted on the y axis

getMinimizeExpectedCost() - Method in class weka.classifiers.meta.CostSensitiveClassifier

Gets the value of MinimizeExpectedCost.

getMinimumBucketSize() - Method in class weka.attributeSelection.OneRAttributeEval

Get the minimum bucket size used by oneR

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

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.

getMixingDistribution() - Method in class weka.classifiers.functions.pace.MixtureDistribution

Gets the mixing distribution

getModel() - Method in class weka.classifiers.trees.m5.RuleNode

Get the linear model 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.

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

getMutationProb() - Method in class weka.attributeSelection.GeneticSearch

get the probability of mutation

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.

getName() - Method in class weka.filters.unsupervised.attribute.AddExpression

Returns the name of the new attribute

getName() - Method in class weka.gui.visualize.VisualizePanel

Returns the name associated with this plot. "" is returned if no name is set.

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

getNegation() - Method in class weka.associations.Tertius

Get the value of negation.

getNegation() - Method in class weka.associations.tertius.Literal

getNegativeCount() - Method in class weka.classifiers.rules.NNge.Exemplar

Returns the number of negative classifications

getNewDecList(Instances, boolean) - Method in class weka.classifiers.rules.part.C45PruneableDecList

Returns a newly created tree.

getNewDecList(Instances, boolean) - Method in class weka.classifiers.rules.part.ClassifierDecList

Returns a newly created tree.

getNewDecList(Instances, Instances, boolean) - Method in class weka.classifiers.rules.part.PruneableDecList

Returns a newly created tree.

getNewTree(Instances) - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree

Returns a newly created tree.

getNewTree(Instances) - Method in class weka.classifiers.trees.j48.ClassifierTree

Returns a newly created tree.

getNewTree(Instances, Instances) - Method in class weka.classifiers.trees.j48.ClassifierTree

Returns a newly created tree.

getNewTree(Instances, Instances) - Method in class weka.classifiers.trees.j48.PruneableClassifierTree

Returns a newly created tree.

getNext(int) - Method in class weka.classifiers.functions.supportVector.SMOset

Gets the next element in the set. -1 gets the first one.

getNextInstance() - Method in class weka.core.converters.AbstractLoader

getNextInstance() - 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() - 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() - Method in class weka.core.converters.CSVLoader

CSVLoader is unable to process a data set incrementally.

getNextInstance() - 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() - 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() - Method in class weka.core.converters.TreeLoader

getNextToken(StreamTokenizer) - Method in class weka.core.Instances

Gets next token, checking for a premature and of line.

getNoNormalization() - Method in class weka.classifiers.lazy.IBk

Gets whether normalization is turned off.

getNoPruning() - Method in class weka.classifiers.trees.REPTree

Get the value of NoPruning.

getNode(String) - Method in class weka.classifiers.trees.UserClassifier.TreeClass

Goes through the tree structure recursively and returns the node that has the id.

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

getNoiseRate() - Method in class weka.datagenerators.BIRCHCluster

Gets the percentage of noise set.

getNoiseThreshold() - Method in class weka.associations.Tertius

Get the value of noiseThreshold.

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

getNormalize() - Method in class weka.attributeSelection.PrincipalComponents

Gets whether or not input data is to be normalized

getNormalizeAttributes() - Method in class weka.classifiers.functions.MultilayerPerceptron

getNormalizeDocLength() - Method in class weka.filters.unsupervised.attribute.StringToWordVector

Gets whether if the word frequencies for a document (instance) should be normalized or not.

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.

getNotes() - Method in class weka.experiment.Experiment

Get the user notes.

getNumAntds() - Method in class weka.classifiers.rules.ConjunctiveRule

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.datagenerators.ClusterGenerator

Gets the number of attributes that should be produced.

getNumAttributes() - Method in class weka.datagenerators.Generator

Gets the number of attributes that should be produced.

getNumAttributesSet() - Method in class weka.classifiers.lazy.LBR.Indexes

Returns the number of attributes "in use"

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.LMT

Get the value of numBoostingIterations.

getNumClasses() - Method in class weka.datagenerators.Generator

Gets the number of classes the dataset should have.

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.SimpleKMeans

gets the number of clusters to generate

getNumClusters() - Method in class weka.datagenerators.ClusterGenerator

Gets the number of clusters the dataset should have.

getNumCycles() - Method in class weka.datagenerators.BIRCHCluster

Gets the number of cycles.

getNumDatasets() - Method in class weka.experiment.PairedTTester

Gets the number of datasets in the resultsets

getNumExamples() - Method in class weka.datagenerators.Generator

Gets the number of examples, given by option.

getNumExamplesAct() - Method in class weka.datagenerators.ClusterGenerator

Gets the number of examples the dataset should have.

getNumExamplesAct() - Method in class weka.datagenerators.Generator

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.

getNumFoldersMIOption() - Method in class weka.classifiers.rules.NNge

Gets the number of folder for mutual information.

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.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.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.

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.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.trees.m5.RuleNode

Return the number of instances that reach this node.

getNumInstancesSet() - Method in class weka.classifiers.lazy.LBR.Indexes

Returns the number of instances "in use"

getNumIrrelevant() - Method in class weka.datagenerators.RDG1

Gets the number of irrelevant attributes.

getNumIterations() - Method in class weka.classifiers.IteratedSingleClassifierEnhancer

Gets the number of bagging iterations

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.meta.Decorate

Gets the max number of Decorate iterations to run.

getNumIterations() - Method in class weka.classifiers.meta.MetaCost

Gets the number of bagging iterations

getNumLeaves() - Method in class weka.classifiers.trees.lmt.LMTNode

Returns the number of leaves in the tree.

getNumNeighbours() - Method in class weka.attributeSelection.ReliefFAttributeEval

Get the number of nearest neighbours

getNumNumeric() - Method in class weka.datagenerators.RDG1

Gets the number of numerical attributes.

getNumOfBoostingIterations() - Method in class weka.classifiers.trees.ADTree

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

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).

getNumResultsets() - Method in class weka.experiment.PairedTTester

Gets the number of resultsets in the data.

getNumRules() - Method in class weka.associations.Apriori

Get the value of numRules.

getNumRuns() - Method in class weka.classifiers.meta.LogitBoost

Get the value of NumRuns.

getNumSamplesPerRegion() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel

Get the number of points to sample from a region (fixed dimensions).

getNumSubCmtys() - Method in class weka.classifiers.meta.MultiBoostAB

Get the number of sub committees to use

getNumSymbols() - Method in class weka.classifiers.bayes.DiscreteEstimatorBayes

Gets the number of symbols this estimator operates with

getNumSymbols() - Method in class weka.estimators.DiscreteEstimator

Gets the number of symbols this estimator operates with

getNumToSelect() - Method in class weka.attributeSelection.ForwardSelection

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

getNumTrees() - Method in class weka.classifiers.trees.RandomForest

Get the value of numTrees.

getNumXValFolds() - Method in class weka.classifiers.meta.ThresholdSelector

Get the number of folds used for cross-validation.

getNumberLiterals() - Method in class weka.associations.Tertius

Get the value of numberLiterals.

getNumberOfAttributes() - Method in class weka.filters.unsupervised.attribute.RandomProjection

Gets the current number of attributes (dimensionality) to which the data will be reduced to.

getNumeric() - Method in class weka.filters.unsupervised.attribute.MakeIndicator

Check if new attribute is to be numeric.

getNumericData(Instances) - Method in class weka.classifiers.trees.lmt.LMTNode

Returns a numeric version of a set of instances.

getNumericData(Instances) - Method in class weka.classifiers.trees.lmt.LogisticBase

Converts training data to numeric version.

getObject() - Method in class weka.core.SerializedObject

Returns a serialized object.

getObjective() - Method in class weka.attributeSelection.GeneticSearch.GABitSet

gets the objective merit

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.

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.

getOnlyAlphabeticTokens() - Method in class weka.filters.unsupervised.attribute.StringToWordVector

Gets whether if the tokens are to be formed only from contiguous alphabetic sequences.

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

getOption(char, String[]) - Static method in class weka.core.Utils

Gets an option indicated by a flag "-Char" 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.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.ChiSquaredAttributeEval

Gets the current settings of WrapperSubsetEval.

getOptions() - Method in class weka.attributeSelection.ClassifierSubsetEval

Gets the current settings of ClassifierSubsetEval

getOptions() - Method in class weka.attributeSelection.ExhaustiveSearch

Gets the current settings of RandomSearch.

getOptions() - Method in class weka.attributeSelection.ForwardSelection

Gets the current settings of ReliefFAttributeEval.

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.InfoGainAttributeEval

Gets the current settings of WrapperSubsetEval.

getOptions() - Method in class weka.attributeSelection.OneRAttributeEval

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.RankSearch

Gets the current settings of WrapperSubsetEval.

getOptions() - Method in class weka.attributeSelection.Ranker

Gets the current settings of ReliefFAttributeEval.

getOptions() - Method in class weka.attributeSelection.ReliefFAttributeEval

Gets the current settings of ReliefFAttributeEval.

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.WrapperSubsetEval

Gets the current settings of WrapperSubsetEval.

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.Classifier

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.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.SingleClassifierEnhancer

Gets the current settings of the Classifier.

getOptions() - Method in class weka.classifiers.bayes.AODE

Gets the current settings of the classifier.

getOptions() - Method in class weka.classifiers.bayes.BayesNet

Gets the current settings of the classifier.

getOptions() - Method in class weka.classifiers.bayes.BayesNetK2

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.NaiveBayes

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.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.RBFNetwork

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.SimpleLogistic

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.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.CVParameterSelection

Gets the current settings of the Classifier.

getOptions() - Method in class weka.classifiers.meta.CostSensitiveClassifier

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.FilteredClassifier

Gets the current settings of the Classifier.

getOptions() - Method in class weka.classifiers.meta.HND

Returns the current settings of the Classifier.

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.ND

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.RegressionByDiscretization

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.TreeBasedMultiClassClassifier

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.VFI

Gets the current settings of VFI

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.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.trees.ADTree

Gets the current settings of ADTree.

getOptions() - Method in class weka.classifiers.trees.J48

Gets the current settings of the Classifier.

getOptions() - Method in class weka.classifiers.trees.LMT

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.REPTree

Gets options from this 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.m5.M5Base

Gets the current settings of the classifier.

getOptions() - Method in class weka.clusterers.Cobweb

Gets the current settings of Cobweb.

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.MakeDensityBasedClusterer

Gets the current settings of the clusterer.

getOptions() - Method in class weka.clusterers.SimpleKMeans

Gets the current settings of SimpleKMeans

getOptions() - Method in interface weka.core.OptionHandler

Gets the current option settings for the OptionHandler.

getOptions() - Method in class weka.datagenerators.BIRCHCluster

Gets the current settings of the datagenerator BIRCHCluster.

getOptions() - Method in class weka.datagenerators.RDG1

Gets the current settings of the datagenerator RDG1.

getOptions() - Method in class weka.experiment.AveragingResultProducer

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.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.DatabaseResultProducer

Gets the current settings of the result producer.

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.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.instance.Resample

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.AddNoise

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.MakeIndicator

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.NominalToBinary

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.PKIDiscretize

Gets the current settings of the filter.

getOptions() - Method in class weka.filters.unsupervised.attribute.RandomProjection

Gets the current settings of the filter.

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.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.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.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.

getOrderedFlag() - Method in class weka.datagenerators.BIRCHCluster

Gets the ordered flag (option O).

getOutput() - Method in class weka.datagenerators.ClusterGenerator

Gets the print writer.

getOutput() - Method in class weka.datagenerators.Generator

Gets the print writer.

getOutputFile() - Method in class weka.experiment.CSVResultListener

Get the value of OutputFile.

getOutputFile() - Method in class weka.experiment.CrossValidationResultProducer

Get the value of OutputFile.

getOutputFile() - Method in class weka.experiment.RandomSplitResultProducer

Get the value of OutputFile.

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.

getOutputNums() - Method in class weka.classifiers.functions.neural.NeuralConnection

Use this to get easy access to the output numbers.

getOutputStringIndex() - Method in class weka.filters.Filter

Returns an array containing the indices of all string attributes in the output format.

getOutputWordCounts() - Method in class weka.filters.unsupervised.attribute.StringToWordVector

Gets whether output instances contain 0 or 1 indicating word presence, or word counts.

getOutputs() - Method in class weka.classifiers.functions.neural.NeuralConnection

Use this to get easy access to the outputs.

getP() - Method in class weka.classifiers.BVDecomposeSegCVSub

Get the proportion of instances that are common between two training sets.

getParent(int) - Method in class weka.gui.treevisualizer.Node

Get the parent edge.

getParts() - Method in class weka.associations.tertius.IndividualInstance

getPassword() - Method in class weka.experiment.DatabaseUtils

Get the database password

getPassword() - Method in class weka.gui.DatabaseConnectionDialog

Returns password from dialog

getPath() - Method in class weka.gui.PropertySelectorDialog

Gets the path of property nodes to the selected property.

getPattern() - Method in class weka.datagenerators.BIRCHCluster

Gets the pattern type.

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

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

getPercentage() - Method in class weka.filters.unsupervised.instance.RemovePercentage

Gets the percentage of instances to select.

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

getPlotTrainingData() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel

Returns true if training data is to be superimposed

getPlots() - Method in class weka.gui.visualize.Plot2D

Return the list of plots

getPointValue(int) - Method in class weka.classifiers.functions.pace.DiscreteFunction

Gets a particular point value

getPointValues() - Method in class weka.classifiers.functions.pace.DiscreteFunction

Gets all point values

getPopulationSize() - Method in class weka.attributeSelection.GeneticSearch

get the size of the population

getPositiveCount() - Method in class weka.classifiers.rules.NNge.Exemplar

Returns the number of positive classifications

getPrecision() - Method in class weka.classifiers.evaluation.TwoClassStats

Calculate the precision.

getPredicate() - Method in class weka.associations.tertius.Literal

getPredictedClass() - Method in class weka.classifiers.rules.Ridor.RidorRule

getPrediction(Classifier, Instance) - Method in class weka.classifiers.evaluation.EvaluationUtils

Generate a single prediction for a test instance given the pre-trained classifier.

getPredictions(Instances, int, int) - Method in class weka.classifiers.meta.ThresholdSelector

Collects the classifier predictions using the specified evaluation method.

getPreferredSize() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer.AxisPanel

getProbabilities(FastVector, int) - Method in class weka.classifiers.evaluation.ThresholdCurve

getProbabilities() - Method in class weka.gui.boundaryvisualizer.RemoteResult

Return the probability distributions for this row in the visualization

getProbability(double) - Method in class weka.classifiers.bayes.DiscreteEstimatorBayes

Get a probability estimate for a value

getProbability(int, int) - Method in class weka.clusterers.Cobweb.CNode

Returns the probability of a value of a nominal attribute in this node

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, 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.DiscreteEstimator

Get a probability estimate for a value

getProbability(double) - Method in interface 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, double) - Method in class weka.estimators.KKConditionalEstimator

Get a probability estimate for a value

getProbability(double) - Method in class weka.estimators.KernelEstimator

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

getProbs(int, Instance, double) - Method in class weka.classifiers.rules.part.ClassifierDecList

Help method for computing class probabilities of a given instance.

getProbs(int, Instance, double) - Method in class weka.classifiers.trees.j48.ClassifierTree

Help method for computing class probabilities of a given instance.

getProbs(double[][]) - Method in class weka.classifiers.trees.lmt.LogisticBase

Computes the p-values (probabilities for the different classes) from the F-values for a set of instances.

getProbsLaplace(int, Instance, double) - Method in class weka.classifiers.trees.j48.ClassifierTree

Help method for computing class probabilities of a given instance.

getProduceLatex() - Method in class weka.experiment.PairedTTester

Get whether latex is output

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

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.

getPropertyDescriptors() - Method in class weka.gui.beans.ClassAssignerBeanInfo

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.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

getPropertyPath() - Method in class weka.experiment.Experiment

Gets the path of properties taken to get to the custom property to iterate over.

getPruningType() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost

Get the pruning type

getQuery() - Method in class weka.experiment.InstanceQuery

Get the query to execute against the database

getROCArea(Instances) - Static method in class weka.classifiers.evaluation.ThresholdCurve

Calculates the area under the ROC curve.

getROCString() - Method in class weka.gui.visualize.ThresholdVisualizePanel

This extracts the ROC area string

getRaceType() - Method in class weka.attributeSelection.RaceSearch

Get the race type

getRadius() - Method in class weka.datagenerators.BIRCHCluster.Cluster

getRadiuses() - Method in class weka.datagenerators.BIRCHCluster

Gets the upper and lower boundary for the radius of the clusters.

getRandom(int) - Method in class weka.classifiers.trees.ADTree

Gets the next random value.

getRandom() - Method in class weka.datagenerators.BIRCHCluster

Gets the random generator.

getRandom() - Method in class weka.datagenerators.RDG1

Gets the random generator.

getRandomNumberGenerator(long) - Method in class weka.core.Instances

Returns a random number generator.

getRandomOrder() - Method in class weka.classifiers.bayes.BayesNetK2

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.trees.ADTree

Gets random seed for a random walk.

getRandomSeed() - Method in class weka.filters.supervised.instance.Resample

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.

getRandomSelection() - Method in class weka.classifiers.meta.TreeBasedMultiClassClassifier

Get whether to perform a random selection.

getRandomWidthFactor() - Method in class weka.classifiers.meta.MultiClassClassifier

Gets the multiplier when generating random codes.

getRandomX(int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel

Return a random x attribute value contained within the pix'th horizontal pixel

getRandomX(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask

Return a random x attribute value contained within the pix'th horizontal pixel

getRandomY(int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel

Return a random y attribute value contained within the pix'th vertical pixel

getRandomY(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask

Return a random y attribute value contained within the pix'th vertical pixel

getRandomizeData() - Method in class weka.experiment.RandomSplitResultProducer

Get if dataset is to be randomized

getRangeCorrection() - Method in class weka.classifiers.meta.ThresholdSelector

Gets the confidence range correction mode used.

getRanges() - Method in class weka.core.Range

Gets the string representing the selected range of values

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.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.

getReadable() - Method in class weka.core.Tag

Gets the string description of the Tag.

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

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.

getRelationName() - Method in class weka.datagenerators.ClusterGenerator

Gets the relation name the dataset should have.

getRelationName() - Method in class weka.datagenerators.Generator

Gets the relation name the dataset should have.

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

getRepeatLiterals() - Method in class weka.associations.Tertius

Get the value of repeatLiterals.

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

getReset() - Method in class weka.classifiers.functions.MultilayerPerceptron

getReset() - Method in class weka.gui.beans.ChartEvent

get the value of the reset flag

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.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.

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.

getResultListener() - Method in class weka.experiment.Experiment

Gets the result listener where results will be sent.

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.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.

getResultSet() - Method in class weka.experiment.DatabaseUtils

Gets the results generated by a previous query.

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.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.

getResultsTableName(ResultProducer) - Method in class weka.experiment.DatabaseUtils

Gets the name of the experiment table that stores results from a particular ResultProducer.

getResultsetKeyColumns() - Method in class weka.experiment.PairedTTester

Get the value of ResultsetKeyColumns.

getResultsetName(int) - Method in class weka.experiment.PairedTTester

Gets a string descriptive of the specified resultset.

getRetrieval() - Method in class weka.core.converters.AbstractLoader

Gets the retrieval mode.

getReturnValue() - Method in class weka.gui.DatabaseConnectionDialog

Returns which of OK or cancel was clicked from dialog

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.

getRocAnalysis() - Method in class weka.associations.Tertius

Get the value of rocAnalysis.

getRoot() - Method in class weka.gui.treevisualizer.Node

Get the value of root.

getRow(int) - Method in class weka.core.Matrix

Gets a row of the matrix and returns it as double array.

getRowCount() - Method in class weka.gui.AttributeListPanel.AttributeTableModel

Gets the number of attributes.

getRowCount() - Method in class weka.gui.AttributeSelectionPanel.AttributeTableModel

Gets the number of attributes.

getRowCount() - Method in class weka.gui.CostMatrixEditor.CostMatrixTableModel

Gets the number of rows in the matrix.

getRowCount() - Method in class weka.gui.graphvisualizer.GraphVisualizer.GraphVisualizerTableModel

getRowDimension() - Method in class weka.classifiers.functions.pace.Matrix

Get row dimension.

getRowHeader() - Method in class weka.gui.visualize.MatrixPanel.Plot

getRowPackedCopy() - Method in class weka.classifiers.functions.pace.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.

getRuleStats(int) - Method in class weka.classifiers.rules.JRip

Get the statistics of the ruleset in the given position

getRules() - Method in class weka.classifiers.rules.Ridor.Ridor_node

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

getRunColumn() - Method in class weka.experiment.PairedTTester

Get the value of RunColumn.

getRunLower() - Method in class weka.experiment.Experiment

Get the lower run number for the experiment.

getRunUpper() - Method in class weka.experiment.Experiment

Get the upper run number for the experiment.

getSIndex() - Method in class weka.gui.visualize.VisualizePanel

Get the index of the shape selected for creating splits.

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

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.

getSamples() - Method in class weka.classifiers.functions.LeastMedSq

Gets the number of samples to use.

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.clusterers.Cobweb

Get the value of saveInstances.

getSaveInstances() - Method in class weka.classifiers.trees.M5P

Get whether instance data is being save.

getScoreType() - Method in class weka.classifiers.bayes.BayesNet

Method declaration

getScreenFit(Dimension, Dimension) - Method in class weka.gui.treevisualizer.TreeVisualizer

Calculates the dimensions needed to fit the entire tree into view.

getSearch() - Method in class weka.classifiers.meta.AttributeSelectedClassifier

Gets the search method used

getSearch() - Method in class weka.filters.supervised.attribute.AttributeSelection

Get the name of the search method

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

getSearchSpec() - Method in class weka.classifiers.meta.AttributeSelectedClassifier

Gets the search specification string, which contains the class name of the search method and any options to it

getSearchTermination() - Method in class weka.attributeSelection.BestFirst

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.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.WrapperSubsetEval

Get the random number seed used for cross validation

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.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.evaluation.EvaluationUtils

Gets the seed for randomization during cross-validation

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.CostSensitiveClassifier

Get seed for resampling.

getSeed() - Method in class weka.classifiers.meta.Decorate

Gets the seed for the random number generator.

getSeed() - Method in class weka.classifiers.meta.HND

Returns the current seed of the ND.

getSeed() - Method in class weka.classifiers.meta.MultiClassClassifier

Gets the random number seed.

getSeed() - Method in class weka.classifiers.meta.MultiScheme

Gets the random number seed.

getSeed() - Method in class weka.classifiers.meta.ND

Gets the random number seed.

getSeed() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost

Get seed for resampling.

getSeed() - Method in class weka.classifiers.meta.ThresholdSelector

Gets the random number seed.

getSeed() - Method in class weka.classifiers.meta.TreeBasedMultiClassClassifier

Gets the random number seed

getSeed() - Method in class weka.classifiers.rules.ConjunctiveRule

getSeed() - Method in class weka.classifiers.rules.JRip

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.REPTree

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.clusterers.EM

Get the random number seed

getSeed() - Method in class weka.clusterers.FarthestFirst

Get the random number seed

getSeed() - Method in class weka.clusterers.SimpleKMeans

Get the random number seed

getSeed() - Method in interface weka.core.Randomizable

Gets the seed for the random number generations

getSeed() - Method in class weka.datagenerators.BIRCHCluster

Gets the random number seed.

getSeed() - Method in class weka.datagenerators.RDG1

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.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

getSelectedAttributes() - Method in class weka.gui.AttributeSelectionPanel.AttributeTableModel

Gets an array containing the indices of all selected attributes.

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.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

getSetNumber() - Method in class weka.gui.beans.BatchClassifierEvent

Get the set number (ie which fold this is)

getSetNumber() - Method in class weka.gui.beans.TestSetEvent

Get the test set number (eg. fold 2 of a 10 fold split)

getSetNumber() - Method in class weka.gui.beans.TrainingSetEvent

Get the set number (eg. fold 2 of a 10 fold split)

getShape() - Method in class weka.gui.treevisualizer.Node

Get the value of shape.

getShape(String) - Method in class weka.gui.treevisualizer.TreeBuild

This will convert the shape string to an int representing that shape.

getShapes() - Method in class weka.gui.visualize.VisualizePanel.PlotPanel

getShowRules() - Method in class weka.classifiers.misc.FLR

Get ShowRules parameter

getShowStdDevs() - Method in class weka.experiment.PairedTTester

Returns true if standard deviations have been requested.

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.

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

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.

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

getSineFlag() - Method in class weka.datagenerators.BIRCHCluster

Gets the sine flag (option S).

getSingleIndex() - Method in class weka.core.SingleIndex

Gets the string representing the selected range of values

getSingleModeFlag() - Method in class weka.datagenerators.BIRCHCluster

Gets the single mode flag.

getSingleModeFlag() - Method in class weka.datagenerators.ClusterGenerator

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.Generator

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.RDG1

Gets the single mode flag.

getSizeOfBranch() - Method in class weka.classifiers.rules.part.ClassifierDecList

Returns the number of instances covered by a branch

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.

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.

getSourceEventSetDescriptor() - Method in class weka.gui.beans.BeanConnection

Returns the event set descriptor for the event generated by the source for this connection

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..

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.classifiers.rules.ConjunctiveRule.NumericAntd

getSplitPoint() - Method in class weka.classifiers.rules.JRip.NumericAntd

getSplitPoint() - Method in class weka.classifiers.rules.Ridor.NumericAntd

getSplitPoint() - Method in class weka.classifiers.trees.lmt.ResidualSplit

Selects split point for numeric attribute.

getSplitPoint() - Method in class weka.filters.unsupervised.instance.RemoveWithValues

Get the split point used for numeric selection

getStandardDev(int) - Method in class weka.clusterers.Cobweb.CNode

Returns the standard deviation of a numeric attribute

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.ExhaustiveSearch

Returns a list of attributes (and or attribute ranges) as a String

getStartSet() - Method in class weka.attributeSelection.ForwardSelection

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.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

getStatus() - Method in class weka.gui.beans.IncrementalClassifierEvent

Get the status

getStatus() - Method in class weka.gui.beans.InstanceEvent

Get the status

getStatusMessage() - Method in class weka.experiment.TaskStatusInfo

Get the status message.

getStdDev() - Method in class weka.datagenerators.BIRCHCluster.Cluster

getStepSize() - Method in class weka.experiment.LearningRateResultProducer

Get the value of StepSize.

getString() - Method in class weka.classifiers.meta.ND.NDTree

Returns the list of indices as a string.

getStringIndices(Instances) - Method in class weka.filters.Filter

Gets an array containing the indices of all string attributes.

getStructure() - Method in class weka.core.converters.AbstractLoader

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.CSVLoader

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.TreeLoader

getStyle(String) - Method in class weka.gui.treevisualizer.TreeBuild

Converts the string representing the fill style int oa number representing it.

getSubtreeRaising() - Method in class weka.classifiers.trees.J48

Get the value of subtreeRaising.

getSummary() - Method in class weka.gui.SetInstancesPanel

Gets the instances summary panel associated with this panel

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.

getTPRate() - Method in class weka.associations.tertius.Rule

Get the rate of True Positive instances of this rule.

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.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.

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.

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

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.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.

getTextTitle() - Method in class weka.gui.beans.TextEvent

Describe getTextTitle method here.

getThreshold() - Method in class weka.attributeSelection.ForwardSelection

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.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.

getTimestamp() - Static method in class weka.gui.LogPanel

Gets a string containing current date and time.

getTimestamp() - Static method in class weka.gui.SysErrLog

Gets a string containing current date and time.

getToken(StreamTokenizer) - Static method in class weka.core.converters.ConverterUtils

Gets token.

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.

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(MouseEvent) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel.PlotPanel

getToolTipText(MouseEvent) - Method in class weka.gui.graphvisualizer.GraphVisualizer.GraphPanel

getToolTipText(MouseEvent) - Method in class weka.gui.visualize.MatrixPanel.Plot

Returns the X and Y attributes of the plot the mouse is currently on

getTop() - Method in class weka.gui.treevisualizer.Node

Get the value of top.

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.

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

getTrainPoolSize() - Method in class weka.classifiers.BVDecompose

Get the number of instances in the training pool.

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.

getTrainingErrors() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree

Computes errors of tree on training data.

getTrainingSet() - Method in class weka.gui.beans.TrainingSetEvent

Get the training instances

getTrainingTime() - Method in class weka.classifiers.functions.MultilayerPerceptron

getTransformBackToOriginal() - Method in class weka.attributeSelection.PrincipalComponents

Gets whether the data is to be transformed back to the original space.

getTransformedDataMatrix(Instances, int) - Method in class weka.classifiers.functions.PaceRegression

Transforms dataset into a two-dimensional array.

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.

getTwoClassStats(int) - Method in class weka.classifiers.evaluation.ConfusionMatrix

Gets the performance with respect to one of the classes as a TwoClassStats object.

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.classifiers.functions.neural.NeuralConnection

getU() - Method in class weka.core.Matrix

Returns the U part of the matrix.

getURL() - Method in class weka.gui.DatabaseConnectionDialog

Returns URL from dialog

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.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

getUpdateIncrementalClassifier() - Method in class weka.gui.beans.Classifier

getUpper() - Method in class weka.gui.experiment.RunNumberPanel

Gets the current upper run number.

getUpperBoundMinSupport() - Method in class weka.associations.Apriori

Get the value of upperBoundMinSupport.

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.

getUseADTree() - Method in class weka.classifiers.bayes.BayesNet

Method declaration

getUseBetterEncoding() - Method in class weka.filters.supervised.attribute.Discretize

Gets whether better encoding is to be used for MDL.

getUseCrossValidation() - Method in class weka.classifiers.functions.SimpleLogistic

Get the value of useCrossValidation.

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.

getUseIBk() - Method in class weka.classifiers.rules.DecisionTable

Gets whether IBk is being used instead of the majority class

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.trees.J48

Get the value of useLaplace.

getUseMissing() - Method in class weka.filters.unsupervised.attribute.AddNoise

Gets the flag if missing values are treated as extra values.

getUsePropertyIterator() - Method in class weka.experiment.Experiment

Gets whether the custom property iterator should be used.

getUsePruning() - Method in class weka.classifiers.rules.JRip

getUseRBF() - Method in class weka.classifiers.functions.SMO

Check if the RBF kernel is to be used.

getUseRBF() - Method in class weka.classifiers.functions.SMOreg

Check if the RBF kernel is to be used.

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

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.

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

getUsedAttributes() - Method in class weka.classifiers.trees.lmt.LogisticBase

Returns an array of the indices of the attributes used in the logistic model.

getUsername() - Method in class weka.experiment.DatabaseUtils

Get the database username

getUsername() - Method in class weka.gui.DatabaseConnectionDialog

Returns Username from dialog

getValidationChunkSize() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost

Get the validation chunk size

getValidationSetSize() - Method in class weka.classifiers.functions.MultilayerPerceptron

getValidationThreshold() - Method in class weka.classifiers.functions.MultilayerPerceptron

getValue() - Method in class weka.classifiers.trees.adtree.PredictionNode

Gets the prediction value of the node.

getValue() - Method in class weka.gui.CostMatrixEditor

Gets the cost matrix that is being edited.

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

getValueAt(int, int) - Method in class weka.gui.AttributeListPanel.AttributeTableModel

Gets a table cell

getValueAt(int, int) - Method in class weka.gui.AttributeSelectionPanel.AttributeTableModel

Gets a table cell

getValueAt(int, int) - Method in class weka.gui.CostMatrixEditor.CostMatrixTableModel

Returns a value at the specified position in the cost matrix.

getValueAt(int, int) - Method in class weka.gui.graphvisualizer.GraphVisualizer.GraphVisualizerTableModel

getValueIndices() - Method in class weka.filters.unsupervised.attribute.MakeIndicator

Get the indices of the indicator values.

getValueRange() - Method in class weka.filters.unsupervised.attribute.MakeIndicator

Get the range containing the indicator values.

getValues() - Method in class weka.gui.visualize.VisualizePanelEvent

getValuesOutput() - Method in class weka.associations.Tertius

Get the value of valuesOutput.

getVarbValues() - Method in class weka.core.Optimization

Get the variable values.

getVariance() - Method in class weka.classifiers.BVDecompose

Get the calculated variance

getVariance() - Method in class weka.datagenerators.BIRCHCluster.Cluster

getVarianceCovered() - Method in class weka.attributeSelection.PrincipalComponents

Gets the proportion of total variance to account for when retaining principal components

getVerbose() - Method in class weka.attributeSelection.ExhaustiveSearch

get whether or not output is verbose

getVerbose() - Method in class weka.attributeSelection.RandomSearch

get whether or not output is verbose

getVisible() - Method in class weka.gui.treevisualizer.Node

Get the value of visible.

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.ClassAssigner

getVisual() - Method in class weka.gui.beans.Classifier

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.PredictionAppender

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

getVoteFlag() - Method in class weka.datagenerators.RDG1

Gets the vote flag.

getWBias() - Method in class weka.classifiers.BVDecomposeSegCVSub

Get the calculated bias according to the Webb definition

getWVariance() - Method in class weka.classifiers.BVDecomposeSegCVSub

Get the calculated variance according to the Webb definition

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

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

getWeightingKernel() - Method in class weka.classifiers.lazy.LWL

Gets the kernel weighting method to use.

getWeights() - Method in class weka.classifiers.functions.neural.NeuralNode

call this function to get the weights array.

getWeights() - Method in interface weka.gui.boundaryvisualizer.DataGenerator

Get weights

getWeights() - Method in class weka.gui.boundaryvisualizer.KDDataGenerator

getWholeDataErr() - Method in class weka.classifiers.rules.Ridor

getWidth() - Method in class weka.gui.beans.BeanInstance

Gets the width of this bean

getWindowSize() - Method in class weka.classifiers.lazy.IBk

Gets the maximum number of instances allowed in the training pool.

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.

getWorth() - Method in class weka.classifiers.rules.Ridor.RidorRule

getWorthRate() - Method in class weka.classifiers.rules.Ridor.RidorRule

The following are get functions after prune() has set the value of worthRate and worth

getWrappedAlgorithm() - Method in class weka.gui.beans.Classifier

Returns the wrapped classifier

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 interface weka.gui.beans.WekaWrapper

Get the algorithm

getWs(double[][], double[][]) - Method in class weka.classifiers.trees.lmt.LogisticBase

Computes the LogitBoost weights from an array of y/p values (actual/estimated class probabilities).

getX() - Method in class weka.classifiers.functions.neural.NeuralConnection

getX() - Method in class weka.gui.beans.BeanInstance

Gets the x coordinate of this bean

getXCoords(FastVector) - Method in class weka.gui.visualize.VisualizePanel.PlotPanel

This will extract from a polygon shape its x coodrdinates so that an awt.Polygon can be created.

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

getXindex() - Method in class weka.gui.visualize.PlotData2D

Get the currently set x index of the data

getY() - Method in class weka.classifiers.functions.neural.NeuralConnection

getY() - Method in class weka.gui.beans.BeanInstance

Gets the y coordinate of this bean

getYCoords(FastVector) - Method in class weka.gui.visualize.VisualizePanel.PlotPanel

This will extract from a polygon shape its y coordinates so that an awt.Polygon can be created.

getYIndex() - Method in class weka.gui.visualize.VisualizePanel

Get the index of the attribute on the y axis

getYindex() - Method in class weka.gui.visualize.PlotData2D

Get the currently set y index of the data

getYs(Instances) - Method in class weka.classifiers.trees.lmt.LogisticBase

Computes the Y-values (actual class probabilities) for a set of instances.

getZ(double, double) - Method in class weka.classifiers.trees.lmt.LogisticBase

Computes the LogitBoost response variable from y/p values (actual/estimated class probabilities).

getZs(double[][], double[][]) - Method in class weka.classifiers.trees.lmt.LogisticBase

Computes the LogitBoost response for an array of y/p values (actual/estimated class probabilities).

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.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.ExhaustiveSearch

Returns a string describing this search method

globalInfo() - Method in class weka.attributeSelection.ForwardSelection

Returns a string describing this search method

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.InfoGainAttributeEval

Returns a string describing this attribute evaluator

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.RankSearch

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.ReliefFAttributeEval

Returns a string describing this attribute evaluator

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.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.BayesNetB

This will return a string describing the classifier.

globalInfo() - Method in class weka.classifiers.bayes.BayesNetB2

This will return a string describing the classifier.

globalInfo() - Method in class weka.classifiers.bayes.BayesNetK2

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.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.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.functions.LeastMedSq

Returns a string describing this 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.RBFNetwork

Returns a string describing this 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.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.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.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.CVParameterSelection

Returns a string describing this 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.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.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.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.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.RegressionByDiscretization

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.TreeBasedMultiClassClassifier

globalInfo() - Method in class weka.classifiers.meta.Vote

Returns a string describing classifier

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.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.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.DecisionStump

Returns a string describing classifier

globalInfo() - Method in class weka.classifiers.trees.Id3

Returns a string describing classifier

globalInfo() - Method in class weka.classifiers.trees.J48

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.REPTree

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.UserClassifier

This will return a string describing the classifier.

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.SimpleKMeans

Returns a string describing this clusterer

globalInfo() - Method in class weka.core.converters.C45Loader

Returns a string describing this attribute evaluator

globalInfo() - Method in class weka.core.converters.CSVLoader

Returns a string describing this attribute evaluator

globalInfo() - Method in class weka.datagenerators.BIRCHCluster

Returns a string describing this data generator.

globalInfo() - Method in class weka.datagenerators.RDG1

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.CSVResultListener

Returns a string describing this result listener

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.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.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.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.instance.Resample

Returns a string describing this filter

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.AddNoise

Returns a string describing this filter

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.MakeIndicator

globalInfo() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues

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.Normalize

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.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.PKIDiscretize

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.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.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.instance.NonSparseToSparse

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.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.SparseToNonSparse

Returns a string describing this filter

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.ClassifierPerformanceEvaluator

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.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.PredictionAppender

Global description of this bean

globalInfo() - Method in class weka.gui.beans.ScatterPlotMatrix

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.TrainTestSplitMaker

Global info for this bean

globalInfo() - Method in class weka.gui.beans.TrainingSetMaker

Global info for this bean

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.

goDownAllPathsSingle(PredictionNode, Instances, Instances) - Method in class weka.classifiers.trees.ADTree

Continues single (two-class optimized) search by investigating every node in the subtree under currentNode.

goDownHeaviestPathSingle(PredictionNode, Instances, Instances) - Method in class weka.classifiers.trees.ADTree

Continues single (two-class optimized) search by investigating only the path with the most heavily weighted instances.

goDownRandomPathSingle(PredictionNode, Instances, Instances) - Method in class weka.classifiers.trees.ADTree

Continues single (two-class optimized) search by investigating a random path.

goDownZpurePathSingle(PredictionNode, Instances, Instances) - Method in class weka.classifiers.trees.ADTree

Continues single (two-class optimized) search by investigating only the path with the best Z-pure value at each branch.

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

good() - Method in class weka.classifiers.meta.MultiClassClassifier.RandomCode

gr(double, double) - Static method in class weka.core.Utils

Tests if a is smaller than b.

grOrEq(double, double) - Static method in class weka.core.Utils

Tests if a is greater or equal to b.

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.CVParameterSelection

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.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.J48

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.M5P

Return a dot style String 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.classifiers.trees.j48.ClassifierTree

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.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.

graph(StreamTokenizer) - Method in class weka.gui.graphvisualizer.DotParser

Following methods parse the DOT input and mimic the DOT language's grammar in their structure

graph() - Method in class weka.gui.treevisualizer.TreeBuild

Parses the top of the dotty stream that has the graph information.

graphID - Variable in class weka.gui.graphvisualizer.GraphVisualizer

String containing graph's name

graphMatrix - Variable in class weka.gui.graphvisualizer.HierarchicalBCEngine

Interconnection matrix for the graph

graphName - Variable in class weka.gui.graphvisualizer.BIFParser

This holds the name of the graph (i.e. the name of network tag in XMLBIF input)

graphTraverse(PredictionNode, StringBuffer, int, int, Instances) - Method in class weka.classifiers.trees.ADTree

Traverses the tree, graphing each node.

graphTree(StringBuffer) - Method in class weka.classifiers.trees.j48.ClassifierTree

Help method for printing tree structure as a graph.

graphTree(StringBuffer) - Method in class weka.classifiers.trees.lmt.LMTNode

Helper function for graph description of tree

graphTree(StringBuffer) - Method in class weka.classifiers.trees.m5.RuleNode

Return a dotty style string describing the tree

graphTree(StringBuffer) - Method in class weka.clusterers.Cobweb.CNode

Recursively generate the graph string for the Cobweb tree.

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.CVParameterSelection

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.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.J48

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.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.classifiers.trees.j48.ClassifierTree

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.

group - Variable in class weka.attributeSelection.BestFirst.Link2

groupBuild(Node) - Method in class weka.gui.treevisualizer.PlaceNode2

This starts to create the information about the sibling groups.

groupFind(Node, int) - Method in class weka.gui.treevisualizer.PlaceNode2

This is called to build the rest of the grouping information.

grouping - Variable in class weka.classifiers.functions.pace.FlexibleDecimalFormat

grouping(boolean) - Method in class weka.classifiers.functions.pace.FlexibleDecimalFormat

grow(Instances) - Method in class weka.classifiers.rules.ConjunctiveRule

Build one rule using the growing data

grow(Instances) - Method in class weka.classifiers.rules.JRip.RipperRule

Build one rule using the growing data

grow(Instances) - Method in class weka.classifiers.rules.Ridor.RidorRule

Build one rule using the growing data

grow(Instances) - Method in class weka.classifiers.rules.Rule

Build this rule