B D E G L M R S T U W

B

buildClassifier(Instances) - Method in class weka.classifiers.functions.SPegasos
Method for building the classifier.

D

distributionForInstance(Instance) - Method in class weka.classifiers.functions.SPegasos
Computes the distribution for a given instance
dontNormalizeTipText() - Method in class weka.classifiers.functions.SPegasos
Returns the tip text for this property
dontReplaceMissingTipText() - Method in class weka.classifiers.functions.SPegasos
Returns the tip text for this property

E

epochsTipText() - Method in class weka.classifiers.functions.SPegasos
Returns the tip text for this property

G

getCapabilities() - Method in class weka.classifiers.functions.SPegasos
Returns default capabilities of the classifier.
getDontNormalize() - Method in class weka.classifiers.functions.SPegasos
Get whether normalization has been turned off.
getDontReplaceMissing() - Method in class weka.classifiers.functions.SPegasos
Get whether global replacement of missing values has been disabled.
getEpochs() - Method in class weka.classifiers.functions.SPegasos
Get current number of epochs
getLambda() - Method in class weka.classifiers.functions.SPegasos
Get the current value of lambda
getLossFunction() - Method in class weka.classifiers.functions.SPegasos
Get the current loss function.
getOptions() - Method in class weka.classifiers.functions.SPegasos
Gets the current settings of the classifier.
getRevision() - Method in class weka.classifiers.functions.SPegasos
Returns the revision string.
getTechnicalInformation() - Method in class weka.classifiers.functions.SPegasos
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.
globalInfo() - Method in class weka.classifiers.functions.SPegasos
Returns a string describing classifier

L

lambdaTipText() - Method in class weka.classifiers.functions.SPegasos
Returns the tip text for this property
listOptions() - Method in class weka.classifiers.functions.SPegasos
Returns an enumeration describing the available options.
lossFunctionTipText() - Method in class weka.classifiers.functions.SPegasos
Returns the tip text for this property

M

main(String[]) - Static method in class weka.classifiers.functions.SPegasos
Main method for testing this class.

R

reset() - Method in class weka.classifiers.functions.SPegasos
Reset the classifier.

S

setDontNormalize(boolean) - Method in class weka.classifiers.functions.SPegasos
Turn normalization off/on.
setDontReplaceMissing(boolean) - Method in class weka.classifiers.functions.SPegasos
Turn global replacement of missing values off/on.
setEpochs(int) - Method in class weka.classifiers.functions.SPegasos
Set the number of epochs to use
setLambda(double) - Method in class weka.classifiers.functions.SPegasos
Set the value of lambda to use
setLossFunction(SelectedTag) - Method in class weka.classifiers.functions.SPegasos
Set the loss function to use.
setOptions(String[]) - Method in class weka.classifiers.functions.SPegasos
Parses a given list of options.
SPegasos - Class in weka.classifiers.functions
Implements the stochastic variant of the Pegasos (Primal Estimated sub-GrAdient SOlver for SVM) method of Shalev-Shwartz et al.
SPegasos() - Constructor for class weka.classifiers.functions.SPegasos
 

T

TAGS_SELECTION - Static variable in class weka.classifiers.functions.SPegasos
Loss functions to choose from
toString() - Method in class weka.classifiers.functions.SPegasos
Prints out the classifier.

U

updateClassifier(Instance) - Method in class weka.classifiers.functions.SPegasos
Updates the classifier with the given instance.

W

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

B D E G L M R S T U W