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B

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

Method for building the classifier from training data.

D

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

Method for applying the classifier to a test instance.

G

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

Returns capabilities of the classifier (i.e.

getKernel() - Method in class weka.classifiers.functions.KernelLogisticRegression

Returns the kernel to use.

getLambda() - Method in class weka.classifiers.functions.KernelLogisticRegression

Get the value of lambda.

getNumThreads() - Method in class weka.classifiers.functions.KernelLogisticRegression

Gets the number of threads.

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

Gets the current settings of the classifier.

getPoolSize() - Method in class weka.classifiers.functions.KernelLogisticRegression

Gets the number of threads.

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

Need to implement this as well....

getUseCGD() - Method in class weka.classifiers.functions.KernelLogisticRegression

Gets whether to use CGD.

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

Returns a string describing this classifier

K

KernelLogisticRegression - Class in weka.classifiers.functions

This classifier generates a two-class kernel logistic regression model.

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

kernelTipText() - Method in class weka.classifiers.functions.KernelLogisticRegression

Returns the tip text for this property

L

lambdaTipText() - Method in class weka.classifiers.functions.KernelLogisticRegression

Returns the tip text for this property

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

Returns an enumeration describing the available options.

M

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

The main method for running this class from the command-line.

N

numThreadsTipText() - Method in class weka.classifiers.functions.KernelLogisticRegression

P

poolSizeTipText() - Method in class weka.classifiers.functions.KernelLogisticRegression

S

setKernel(Kernel) - Method in class weka.classifiers.functions.KernelLogisticRegression

Sets the kernel to use.

setLambda(double) - Method in class weka.classifiers.functions.KernelLogisticRegression

Set the value of lambda.

setNumThreads(int) - Method in class weka.classifiers.functions.KernelLogisticRegression

Sets the number of threads

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

Parses a given list of options.

setPoolSize(int) - Method in class weka.classifiers.functions.KernelLogisticRegression

Sets the number of threads

setUseCGD(boolean) - Method in class weka.classifiers.functions.KernelLogisticRegression

Sets whether to use CGD.

T

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

Outputs description of classifier as a string.

U

useCGDTipText() - Method in class weka.classifiers.functions.KernelLogisticRegression

W

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

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