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

W

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

WEST_CONNECTOR - Static variable in class weka.gui.beans.BeanVisual

WHITESPACE - Static variable in class weka.classifiers.meta.HND

The pattern for separation of entries in the option-line of a property-file.

WINDOW - Static variable in class weka.associations.Tertius

WITHIN_BATCH - Static variable in class weka.gui.beans.IncrementalClassifierEvent

WeightedInstancesHandler - interface weka.core.WeightedInstancesHandler.

Interface to something that makes use of the information provided by instance weights.

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).

Winnow - class weka.classifiers.functions.Winnow.

Implements Winnow and Balanced Winnow algorithms by N.

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

WrapperSubsetEval - class weka.attributeSelection.WrapperSubsetEval.

Wrapper attribute subset evaluator.

WrapperSubsetEval() - Constructor for class weka.attributeSelection.WrapperSubsetEval

Constructor.

waitingExperiment(int) - Method in class weka.experiment.RemoteExperiment

Push an experiment back on the queue of waiting experiments

waitingTask(int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed

Push an experiment back on the queue of waiting experiments

wasModified(PropertyChangeEvent) - Method in class weka.gui.PropertySheetPanel

Updates the propertysheet when a value has been changed (from outside the propertysheet?).

weight() - Method in class weka.classifiers.evaluation.NominalPrediction

Gets the weight assigned to this prediction.

weight() - Method in class weka.classifiers.evaluation.NumericPrediction

Gets the weight assigned to this prediction.

weight() - Method in interface weka.classifiers.evaluation.Prediction

Gets the weight assigned to this prediction.

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

Return the weight of the Examplar

weight(Instance) - Method in class weka.classifiers.rules.part.ClassifierDecList

Returns the weight a rule assigns to an instance.

weight() - Method in class weka.core.Attribute

Returns the attribute's weight.

weight() - Method in class weka.core.Instance

Returns the instance's weight.

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

weightThresholdTipText() - Method in class weka.classifiers.meta.AdaBoostM1

Returns the tip text for this property

weightThresholdTipText() - Method in class weka.classifiers.meta.LogitBoost

Returns the tip text for this property

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.

weightedDistribution(int[]) - Method in class weka.filters.unsupervised.attribute.RandomProjection

Calculates a weighted distribution

weightedInstancesHandler() - Method in class weka.classifiers.CheckClassifier

Checks whether the scheme says it can handle instance weights.

weightingKernelTipText() - Method in class weka.classifiers.lazy.LWL

Returns the tip text for this property

weights - Variable in class weka.classifiers.functions.Logistic.OptEng

weights(Instance) - Method in class weka.classifiers.trees.j48.BinC45Split

Returns weights if instance is assigned to more than 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.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.lmt.ResidualSplit

Method not in use

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

weights2 - Static variable in class weka.filters.unsupervised.attribute.RandomProjection

weka.associations - package weka.associations

weka.associations.tertius - package weka.associations.tertius

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.lmt - package weka.classifiers.trees.lmt

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.datagenerators - package weka.datagenerators

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.graphvisualizer - package weka.gui.graphvisualizer

weka.gui.streams - package weka.gui.streams

weka.gui.treevisualizer - package weka.gui.treevisualizer

weka.gui.visualize - package weka.gui.visualize

wekaStaticWrapper(Sourcable, String) - Static method in class weka.classifiers.Evaluation

Wraps a static classifier in enough source to test using the weka class libraries.

whichSubset(Instance) - Method in class weka.classifiers.trees.DecisionStump

Returns the subset an instance falls into.

whichSubset(Instance) - Method in class weka.classifiers.trees.j48.BinC45Split

Returns index of subset instance is assigned to.

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.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.lmt.ResidualSplit

whileCnt - Variable in class weka.classifiers.lazy.LBR

wholeDataErrTipText() - Method in class weka.classifiers.rules.Ridor

Returns the tip text for this property

width() - Method in class weka.classifiers.functions.pace.ExponentialFormat

width() - Method in class weka.classifiers.functions.pace.FlexibleDecimalFormat

width - Variable in class weka.classifiers.functions.pace.FloatingPointFormat

width() - Method in class weka.classifiers.functions.pace.FloatingPointFormat

windowSizeTipText() - Method in class weka.classifiers.lazy.IBk

Returns the tip text for this property

wordWeights - Variable in class weka.classifiers.bayes.ComplementNaiveBayes

Weight of words for each class.

wordsToKeepTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector

Returns the tip text for this property

write(Writer) - Method in class weka.core.Matrix

Writes out a matrix.

writeDOT(String, String, FastVector, FastVector) - Static method in class weka.gui.graphvisualizer.DotParser

This method saves a graph in a file in DOT format.

writeObject(ObjectOutputStream) - Method in class weka.associations.tertius.SimpleLinkedList

Save the state of this LinkedList instance to a stream (that is, serialize it).

writeObject(ObjectOutputStream) - Method in class weka.experiment.PropertyNode

writeXMLBIF03(String, String, FastVector, FastVector) - Static method in class weka.gui.graphvisualizer.BIFParser

This method writes a graph in XMLBIF ver. 0.3 format to a file.

wtMeanSqErr(double, double, double) - Method in class weka.classifiers.rules.ConjunctiveRule.Antd

Function used to calculate the weighted mean squared error, i.e., sum[x-avg(x)]^2 based on the given elements of the formula: meanSquaredError = sum(Wi*Xi^2) - (sum(WiXi))^2/sum(Wi)