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

V

V - Variable in class weka.classifiers.functions.pace.DoubleVector

V - Variable in class weka.classifiers.functions.pace.IntVector

VFI - class weka.classifiers.misc.VFI.

Class implementing the voting feature interval classifier.

VFI() - Constructor for class weka.classifiers.misc.VFI

VISUALIZE_PROPERTIES - Static variable in class weka.gui.visualize.VisualizeUtils

Contains the visualization properties

VLINE - Static variable in class weka.classifiers.trees.UserClassifier

VLINE - Static variable in class weka.gui.visualize.VisualizePanelEvent

Values - class weka.classifiers.trees.m5.Values.

Stores some statistics.

Values(int, int, int, Instances) - Constructor for class weka.classifiers.trees.m5.Values

Constructs an object which stores some statistics of the instances such as sum, squared sum, variance, standard deviation

VaryNode - class weka.classifiers.bayes.VaryNode.

Part of ADTree implementation.

VaryNode(int) - Constructor for class weka.classifiers.bayes.VaryNode

Creates new VaryNode

Visible - interface weka.gui.beans.Visible.

Interface to something that has a visible (via BeanVisual) reprentation

VisualizePanel - class weka.gui.visualize.VisualizePanel.

This panel allows the user to visualize a dataset (and if provided) a classifier's/clusterer's predictions in two dimensions.

VisualizePanel(VisualizePanelListener) - Constructor for class weka.gui.visualize.VisualizePanel

This constructor allows a VisualizePanelListener to be set.

VisualizePanel() - Constructor for class weka.gui.visualize.VisualizePanel

Constructor

VisualizePanel.PlotPanel - class weka.gui.visualize.VisualizePanel.PlotPanel.

Inner class to handle plotting

VisualizePanel.PlotPanel() - Constructor for class weka.gui.visualize.VisualizePanel.PlotPanel

Constructor

VisualizePanelEvent - class weka.gui.visualize.VisualizePanelEvent.

This event Is fired to a listeners 'userDataEvent' function when The user on the VisualizePanel clicks submit.

VisualizePanelEvent(FastVector, Instances, Instances, int, int) - Constructor for class weka.gui.visualize.VisualizePanelEvent

This constructor creates the event with all the parameters set.

VisualizePanelListener - interface weka.gui.visualize.VisualizePanelListener.

Interface implemented by a class that is interested in receiving submited shapes from a visualize panel.

VisualizeUtils - class weka.gui.visualize.VisualizeUtils.

This class contains utility routines for visualization

VisualizeUtils() - Constructor for class weka.gui.visualize.VisualizeUtils

Vote - class weka.classifiers.meta.Vote.

Class for combining classifiers using unweighted average of probability estimates (classification) or numeric predictions (regression).

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

VotedPerceptron - class weka.classifiers.functions.VotedPerceptron.

Implements the voted perceptron algorithm by Freund and Schapire.

VotedPerceptron() - Constructor for class weka.classifiers.functions.VotedPerceptron

va - Variable in class weka.classifiers.trees.m5.Impurity

va - Variable in class weka.classifiers.trees.m5.Values

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

Validates the currently set EncodedHierarchy with respect to the current initialization.

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

Validates the currently encoded hierarchy with respect to the Instances given in initialization.

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

Validates a generalisation started with preGeneralise.

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

validationError() - Method in class weka.classifiers.meta.RacedIncrementalLogitBoost.Committee

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

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

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

vals2 - Static variable in class weka.filters.unsupervised.attribute.RandomProjection

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

Calculates the valuation function of the FuzzyLattice

value - Variable in class weka.classifiers.lazy.kstar.KStarCache.TableEntry

scale factor or stop parameter

value - Variable in class weka.classifiers.rules.ConjunctiveRule.Antd

The attribute value of the antecedent.

value - Variable in class weka.classifiers.rules.JRip.Antd

value - Variable in class weka.classifiers.rules.Ridor.Antd

value - Variable in class weka.classifiers.trees.adtree.PredictionNode

The prediction value stored in this node

value(int) - Method in class weka.core.Attribute

Returns a value of a nominal or string attribute.

value(int) - Method in class weka.core.BinarySparseInstance

Returns an instance's attribute value in internal format.

value(int) - Method in class weka.core.Instance

Returns an instance's attribute value in internal format.

value(Attribute) - Method in class weka.core.Instance

Returns an instance's attribute value in internal format.

value(int) - Method in class weka.core.SparseInstance

Returns an instance's attribute value in internal format.

value - Variable in class weka.experiment.PropertyNode

The current property value

value - Variable in class weka.gui.HierarchyPropertyParser.TreeNode

The value of this node.

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

valueSparse(int) - Method in class weka.core.BinarySparseInstance

Returns an instance's attribute value in internal format.

valueSparse(int) - Method in class weka.core.Instance

Returns an instance's attribute value in internal format.

values - Variable in class weka.attributeSelection.ConsistencySubsetEval.hashKey

The values

values - Variable in class weka.classifiers.functions.pace.DiscreteFunction

values - Variable in class weka.classifiers.rules.DecisionTable.hashKey

The values

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

Returns the tip text for this property.

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

Return a String giving the confirmation and optimistic estimate of this rule.

variance(double[][], double[], double[]) - Method in class weka.classifiers.trees.DecisionStump

Computes variance for subsets.

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

Computes variance for subsets.

variance(int) - Method in class weka.core.Instances

Computes the variance for a numeric attribute.

variance(Attribute) - Method in class weka.core.Instances

Computes the variance for a numeric attribute.

variance(double[]) - Static method in class weka.core.Utils

Computes the variance for an array of doubles.

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

Returns the tip text for this property

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

Returns the tip text for this property

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

Returns the tip text for this property

visualize(String, int, int) - Method in class weka.gui.explorer.AttributeSelectionPanel

Handles constructing a popup menu with visualization options

visualize(String, int, int) - Method in class weka.gui.explorer.ClassifierPanel

Handles constructing a popup menu with visualization options.

visualizeBayesNet(String, String) - Method in class weka.gui.explorer.ClassifierPanel

Pops up a GraphVisualizer for the BayesNet classifier from the currently selected item in the results list

visualizeClassifierErrors(VisualizePanel) - Method in class weka.gui.explorer.ClassifierPanel

Pops up a VisualizePanel for visualizing the data and errors for the classifier from the currently selected item in the results list

visualizeClusterAssignments(VisualizePanel) - Method in class weka.gui.explorer.ClustererPanel

Pops up a visualize panel to display cluster assignments

visualizeClusterer(String, int, int) - Method in class weka.gui.explorer.ClustererPanel

Handles constructing a popup menu with visualization options

visualizeTransformedData(Instances) - Method in class weka.gui.explorer.AttributeSelectionPanel

Popup a visualize panel for viewing transformed data

visualizeTree(String, String) - Method in class weka.gui.explorer.ClassifierPanel

Pops up a TreeVisualizer for the classifier from the currently selected item in the results list

visualizeTree(String, String) - Method in class weka.gui.explorer.ClustererPanel

Pops up a TreeVisualizer for the clusterer from the currently selected item in the results list

vl - Variable in class weka.classifiers.trees.m5.Impurity

voteDataset(Instances) - Method in class weka.datagenerators.RDG1

Resets the class values of all instances using voting.

votedReclassifyExample(Instance) - Method in class weka.datagenerators.RDG1

Classify example with maximum vote the following way.

vr - Variable in class weka.classifiers.trees.m5.Impurity