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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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All Packages Class Hierarchy