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WEIGHT_INVERSE. Static variable in class weka.classifiers.lazy.IBk
WEIGHT_NONE. Static variable in class weka.classifiers.lazy.IBk
WEIGHT_SIMILARITY. Static variable in class weka.classifiers.lazy.IBk
weight(). Method in class weka.core.Instance
Returns the instance's weight.
weight(). Method in class weka.core.Attribute
Returns the attribute's weight.
weight(). Method in class weka.classifiers.evaluation.NumericPrediction
Gets the weight assigned to this prediction.
weight(). Method in class weka.classifiers.evaluation.NominalPrediction
Gets the weight assigned to this prediction.
weight(). Method in interface weka.classifiers.evaluation.Prediction
Gets the weight assigned to this prediction.
weight(Instance). Method in class weka.classifiers.rules.part.ClassifierDecList
Returns the weight a rule assigns to an instance.
weightByConfidenceTipText(). Method in class weka.classifiers.misc.VFI
Returns the tip text for this property
weightByDistanceTipText(). Method in class weka.attributeSelection.ReliefFAttributeEval
Returns the tip text for this property
WeightedInstancesHandler interface weka.core.WeightedInstancesHandler.
Interface to something that makes use of the information provided by instance weights.
weights(Instance). Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Returns weights if instance is assigned to more than one subset.
weights(Instance). Method in class weka.classifiers.trees.j48.NoSplit
Always returns null because there is only one subset.
weights(Instance). Method in class weka.classifiers.trees.j48.C45Split
Returns weights if instance is assigned to more than one subset.
weights(Instance). Method in class weka.classifiers.trees.j48.BinC45Split
Returns weights if instance is assigned to more than one subset.
weightValue(int). Method in class weka.classifiers.functions.neural.NeuralConnection
Call this to get the weight value on a particular connection.
weightValue(int). Method in class weka.classifiers.functions.neural.NeuralNode
Call this to get the weight value on a particular connection.
weka.associations package weka.associations
weka.attributeSelection package weka.attributeSelection
weka.classifiers package weka.classifiers
weka.classifiers.bayes package weka.classifiers.bayes
weka.classifiers.evaluation package weka.classifiers.evaluation
weka.classifiers.functions package weka.classifiers.functions
weka.classifiers.functions.neural package weka.classifiers.functions.neural
weka.classifiers.functions.pace package weka.classifiers.functions.pace
weka.classifiers.functions.supportVector package weka.classifiers.functions.supportVector
weka.classifiers.lazy package weka.classifiers.lazy
weka.classifiers.lazy.kstar package weka.classifiers.lazy.kstar
weka.classifiers.meta package weka.classifiers.meta
weka.classifiers.misc package weka.classifiers.misc
weka.classifiers.rules package weka.classifiers.rules
weka.classifiers.rules.part package weka.classifiers.rules.part
weka.classifiers.trees package weka.classifiers.trees
weka.classifiers.trees.adtree package weka.classifiers.trees.adtree
weka.classifiers.trees.j48 package weka.classifiers.trees.j48
weka.classifiers.trees.m5 package weka.classifiers.trees.m5
weka.clusterers package weka.clusterers
weka.core package weka.core
weka.core.converters package weka.core.converters
weka.estimators package weka.estimators
weka.experiment package weka.experiment
weka.filters package weka.filters
weka.filters.supervised.attribute package weka.filters.supervised.attribute
weka.filters.supervised.instance package weka.filters.supervised.instance
weka.filters.unsupervised.attribute package weka.filters.unsupervised.attribute
weka.filters.unsupervised.instance package weka.filters.unsupervised.instance
weka.gui package weka.gui
weka.gui.beans package weka.gui.beans
weka.gui.boundaryvisualizer package weka.gui.boundaryvisualizer
weka.gui.experiment package weka.gui.experiment
weka.gui.explorer package weka.gui.explorer
weka.gui.streams package weka.gui.streams
weka.gui.treevisualizer package weka.gui.treevisualizer
weka.gui.visualize package weka.gui.visualize
WekaException exception weka.core.WekaException.
Class for Weka-specific exceptions.
WekaException(). Constructor for class weka.core.WekaException
Creates a new WekaException with no message.
WekaException(String). Constructor for class weka.core.WekaException
Creates a new WekaException.
WekaTaskMonitor class weka.gui.WekaTaskMonitor.
This panel records the number of weka tasks running and displays a simple bird animation while their are active tasks
WekaTaskMonitor(). Constructor for class weka.gui.WekaTaskMonitor
Constructor
WekaWrapper interface weka.gui.beans.WekaWrapper.
Interface to something that can wrap around a class of Weka algorithms (classifiers, filters etc).
WEST_CONNECTOR. Static variable in class weka.gui.beans.BeanVisual
whichSubset(Instance). Method in class weka.classifiers.trees.j48.ClassifierSplitModel
Returns index of subset instance is assigned to.
whichSubset(Instance). Method in class weka.classifiers.trees.j48.NoSplit
Always returns 0 because only there is only one subset.
whichSubset(Instance). Method in class weka.classifiers.trees.j48.C45Split
Returns index of subset instance is assigned to.
whichSubset(Instance). Method in class weka.classifiers.trees.j48.BinC45Split
Returns index of subset instance is assigned to.
width(). Method in class weka.classifiers.functions.pace.ExponentialFormat
width(). Method in class weka.classifiers.functions.pace.FloatingPointFormat
width(). Method in class weka.classifiers.functions.pace.FlexibleDecimalFormat
Winnow class weka.classifiers.functions.Winnow.
Implements Winnow and Balanced Winnow algorithms by N.
Winnow(). Constructor for class weka.classifiers.functions.Winnow
WITHIN_BATCH. Static variable in class weka.gui.beans.IncrementalClassifierEvent
WrapperSubsetEval class weka.attributeSelection.WrapperSubsetEval.
Wrapper attribute subset evaluator.
WrapperSubsetEval(). Constructor for class weka.attributeSelection.WrapperSubsetEval
Constructor.
write(Writer). Method in class weka.core.Matrix
Writes out a matrix.

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