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A

allowAccessToFullInputFormat() - Method in class weka.filters.supervised.attribute.MultiClassFLDA

Returns whether to allow the determineOutputFormat(Instances) method access to the full dataset rather than just the header.

B

buildClassifier(Instances) - Method in class weka.classifiers.functions.FLDA

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.functions.LDA

Builds the classifier.

buildClassifier(Instances) - Method in class weka.classifiers.functions.QDA

Builds the classifier.

D

distributionForInstance(Instance) - Method in class weka.classifiers.functions.FLDA

Output class "probabilities".

distributionForInstance(Instance) - Method in class weka.classifiers.functions.LDA

Output class probabilities using Bayes' rule.

distributionForInstance(Instance) - Method in class weka.classifiers.functions.QDA

Output class probabilities using Bayes' rule.

F

FLDA - Class in weka.classifiers.functions

Builds Fisher's Linear Discriminant function.

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

G

getCapabilities() - Method in class weka.classifiers.functions.FLDA

Returns default capabilities of the classifier.

getCapabilities() - Method in class weka.classifiers.functions.LDA

Returns default capabilities of the classifier.

getCapabilities() - Method in class weka.classifiers.functions.QDA

Returns default capabilities of the classifier.

getCapabilities() - Method in class weka.filters.supervised.attribute.MultiClassFLDA

Returns the Capabilities of this filter.

getOptions() - Method in class weka.classifiers.functions.FLDA

Gets the current settings of IBk.

getOptions() - Method in class weka.classifiers.functions.LDA

Gets the current settings of IBk.

getOptions() - Method in class weka.classifiers.functions.QDA

Gets the current settings of IBk.

getOptions() - Method in class weka.filters.supervised.attribute.MultiClassFLDA

Gets the current settings of IBk.

getRevision() - Method in class weka.classifiers.functions.FLDA

Returns the revision string.

getRevision() - Method in class weka.classifiers.functions.LDA

Returns the revision string.

getRevision() - Method in class weka.classifiers.functions.QDA

Returns the revision string.

getRevision() - Method in class weka.filters.supervised.attribute.MultiClassFLDA

Returns the revision string.

getRidge() - Method in class weka.classifiers.functions.FLDA

Get the value of Ridge.

getRidge() - Method in class weka.classifiers.functions.LDA

Get the value of Ridge.

getRidge() - Method in class weka.classifiers.functions.QDA

Get the value of Ridge.

getRidge() - Method in class weka.filters.supervised.attribute.MultiClassFLDA

Get the value of Ridge.

globalInfo() - Method in class weka.classifiers.functions.FLDA

Global info for this classifier.

globalInfo() - Method in class weka.classifiers.functions.LDA

Global info for this classifier.

globalInfo() - Method in class weka.classifiers.functions.QDA

Global info for this classifier.

globalInfo() - Method in class weka.filters.supervised.attribute.MultiClassFLDA

Provides information regarding this class.

L

LDA - Class in weka.classifiers.functions

Generates an LDA model.

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

listOptions() - Method in class weka.classifiers.functions.FLDA

Returns an enumeration describing the available options.

listOptions() - Method in class weka.classifiers.functions.LDA

Returns an enumeration describing the available options.

listOptions() - Method in class weka.classifiers.functions.QDA

Returns an enumeration describing the available options.

listOptions() - Method in class weka.filters.supervised.attribute.MultiClassFLDA

Returns an enumeration describing the available options.

M

main(String[]) - Static method in class weka.classifiers.functions.FLDA

Generates an FLDA classifier.

main(String[]) - Static method in class weka.classifiers.functions.LDA

Generates an LDA classifier.

main(String[]) - Static method in class weka.classifiers.functions.QDA

Generates an QDA classifier.

main(String[]) - Static method in class weka.filters.supervised.attribute.MultiClassFLDA

Main method for testing this class.

MultiClassFLDA - Class in weka.filters.supervised.attribute

Implements Fisher's linear discriminant analysis for dimensionality reduction.

MultiClassFLDA() - Constructor for class weka.filters.supervised.attribute.MultiClassFLDA

Q

QDA - Class in weka.classifiers.functions

Generates a QDA.

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

R

ridgeTipText() - Method in class weka.classifiers.functions.FLDA

Returns the tip text for this property

ridgeTipText() - Method in class weka.classifiers.functions.LDA

Returns the tip text for this property

ridgeTipText() - Method in class weka.classifiers.functions.QDA

Returns the tip text for this property

ridgeTipText() - Method in class weka.filters.supervised.attribute.MultiClassFLDA

Returns the tip text for this property

S

setOptions(String[]) - Method in class weka.classifiers.functions.FLDA

Parses a given list of options.

setOptions(String[]) - Method in class weka.classifiers.functions.LDA

Parses a given list of options.

setOptions(String[]) - Method in class weka.classifiers.functions.QDA

Parses a given list of options.

setOptions(String[]) - Method in class weka.filters.supervised.attribute.MultiClassFLDA

Parses a given list of options.

setRidge(double) - Method in class weka.classifiers.functions.FLDA

Set the value of Ridge.

setRidge(double) - Method in class weka.classifiers.functions.LDA

Set the value of Ridge.

setRidge(double) - Method in class weka.classifiers.functions.QDA

Set the value of Ridge.

setRidge(double) - Method in class weka.filters.supervised.attribute.MultiClassFLDA

Set the value of Ridge.

T

toString() - Method in class weka.classifiers.functions.FLDA

Outputs description of classifier as a string.

toString() - Method in class weka.classifiers.functions.LDA

Produces textual description of the classifier.

toString() - Method in class weka.classifiers.functions.QDA

Produces textual description of the classifier.

W

weka.classifiers.functions - package weka.classifiers.functions

weka.filters.supervised.attribute - package weka.filters.supervised.attribute

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