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

validationSetSizeTipText(). Method in class weka.classifiers.functions.neural.NeuralNetwork

validationThresholdTipText(). Method in class weka.classifiers.functions.neural.NeuralNetwork

value. Variable in class weka.experiment.PropertyNode

The current property value

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

scale factor or stop parameter

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

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

Returns an instance's attribute value in internal format.

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

Returns an instance's attribute value in internal format.

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

Returns a value of a nominal or string attribute.

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

valueIsSmallerEqual(Instance, int, double). Method in class weka.core.DistanceFunction

Returns true if the value of the given dimension is smaller or equal the value to be compared with.

valueIsSmallerEqual(Instance, int, double). Method in class weka.core.EuclideanDistance

Returns true if the value of the given dimension is smaller or equal the value to be compared with.

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

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

Returns an instance's attribute value in internal format.

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

Returns an instance's attribute value in internal format.

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.

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

Computes the variance for a numeric attribute.

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

Returns the tip text for this property

VaryNode class weka.classifiers.bayes.VaryNode.

Part of ADTree implementation.

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

Creates new VaryNode

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

VFI class weka.classifiers.misc.VFI.

Class implementing the voting feature interval classifier.

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

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

Constructor

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

This constructor allows a VisualizePanelListener to be set.

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

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

Vote class weka.classifiers.meta.Vote.

Class for combining classifiers using unweighted average (i.e.

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

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