A B C D G L M N S T U W

A

alphaTipText() - Method in class weka.classifiers.functions.Winnow

Returns the tip text for this property

B

balancedTipText() - Method in class weka.classifiers.functions.Winnow

Returns the tip text for this property

betaTipText() - Method in class weka.classifiers.functions.Winnow

Returns the tip text for this property

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

Builds the classifier

C

classifyInstance(Instance) - Method in class weka.classifiers.functions.Winnow

Outputs the prediction for the given instance.

D

defaultWeightTipText() - Method in class weka.classifiers.functions.Winnow

Returns the tip text for this property

G

getAlpha() - Method in class weka.classifiers.functions.Winnow

Get the value of Alpha.

getBalanced() - Method in class weka.classifiers.functions.Winnow

Get the value of Balanced.

getBeta() - Method in class weka.classifiers.functions.Winnow

Get the value of Beta.

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

Returns default capabilities of the classifier.

getDefaultWeight() - Method in class weka.classifiers.functions.Winnow

Get the value of defaultWeight.

getNumIterations() - Method in class weka.classifiers.functions.Winnow

Get the value of numIterations.

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

Gets the current settings of the classifier.

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

Returns the revision string.

getSeed() - Method in class weka.classifiers.functions.Winnow

Get the value of Seed.

getTechnicalInformation() - Method in class weka.classifiers.functions.Winnow

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getThreshold() - Method in class weka.classifiers.functions.Winnow

Get the value of Threshold.

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

Returns a string describing classifier

L

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

Returns an enumeration describing the available options

M

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

Main method.

N

numIterationsTipText() - Method in class weka.classifiers.functions.Winnow

Returns the tip text for this property

S

seedTipText() - Method in class weka.classifiers.functions.Winnow

Returns the tip text for this property

setAlpha(double) - Method in class weka.classifiers.functions.Winnow

Set the value of Alpha.

setBalanced(boolean) - Method in class weka.classifiers.functions.Winnow

Set the value of Balanced.

setBeta(double) - Method in class weka.classifiers.functions.Winnow

Set the value of Beta.

setDefaultWeight(double) - Method in class weka.classifiers.functions.Winnow

Set the value of defaultWeight.

setNumIterations(int) - Method in class weka.classifiers.functions.Winnow

Set the value of numIterations.

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

Parses a given list of options.

Valid options are:

setSeed(int) - Method in class weka.classifiers.functions.Winnow

Set the value of Seed.

setThreshold(double) - Method in class weka.classifiers.functions.Winnow

Set the value of Threshold.

T

thresholdTipText() - Method in class weka.classifiers.functions.Winnow

Returns the tip text for this property

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

Returns textual description of the classifier.

U

updateClassifier(Instance) - Method in class weka.classifiers.functions.Winnow

Updates the classifier with a new learning example

W

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

Winnow - Class in weka.classifiers.functions

Implements Winnow and Balanced Winnow algorithms by Littlestone.

For more information, see

N.

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

A B C D G L M N S T U W