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V

validation(Instances). Method in class weka.classifiers.m5.Node
Computes performance measures for both unsmoothed and smoothed models
validationSetSizeTipText(). Method in class weka.classifiers.neural.NeuralNetwork
validationThresholdTipText(). Method in class weka.classifiers.neural.NeuralNetwork
value. Variable in class weka.classifiers.kstar.KStarCache.TableEntry
scale factor or stop parameter
value. Variable in class weka.experiment.PropertyNode
The current property value
value(Attribute). Method in class weka.core.Instance
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.
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.
valueIndicesTipText(). Method in class weka.filters.MakeIndicatorFilter
valueNode(). Method in class weka.classifiers.m5.Node
Takes a constant value as the function at the node
Values class weka.classifiers.m5.Values.
Stores some statistics.
Values(int, int, int, Instances). Constructor for class weka.classifiers.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.
variance(int, Instances). Static method in class weka.classifiers.m5.M5Utils
Returns the variance value of the instances values of an attribute
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
VFI class weka.classifiers.VFI.
Class implementing the voting feature interval classifier.
VFI(). Constructor for class weka.classifiers.VFI
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
VotedPerceptron class weka.classifiers.VotedPerceptron.
Implements the voted perceptron algorithm by Freund and Schapire.
VotedPerceptron(). Constructor for class weka.classifiers.VotedPerceptron

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