Index

B C D E G K L M N P S T W

B

buildClassifier(Instances) - Method in class weka.classifiers.functions.LibSVM: builds the classifier.

C

cacheSizeTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.
coef0TipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.
costTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.

D

degreeTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.
distributionForInstance(Instance) - Method in class weka.classifiers.functions.LibSVM: Computes the distribution for a given instance.
doNotReplaceMissingValuesTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.

E

epsTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.

G

gammaTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.
getCacheSize() - Method in class weka.classifiers.functions.LibSVM: Gets cache memory size in MB.
getCapabilities() - Method in class weka.classifiers.functions.LibSVM: Returns default capabilities of the classifier.
getCoef0() - Method in class weka.classifiers.functions.LibSVM: Gets coef.
getCost() - Method in class weka.classifiers.functions.LibSVM: Sets the parameter C of C-SVC, epsilon-SVR, and nu-SVR.
getDegree() - Method in class weka.classifiers.functions.LibSVM: Gets the degree of the kernel.
getDoNotReplaceMissingValues() - Method in class weka.classifiers.functions.LibSVM: Gets whether automatic replacement of missing values is disabled.
getEps() - Method in class weka.classifiers.functions.LibSVM: Gets tolerance of termination criterion.
getGamma() - Method in class weka.classifiers.functions.LibSVM: Gets gamma.
getKernelType() - Method in class weka.classifiers.functions.LibSVM: Gets type of kernel function.
getLoss() - Method in class weka.classifiers.functions.LibSVM: Gets the epsilon in loss function of epsilon-SVR.
getModelFile() - Method in class weka.classifiers.functions.LibSVM: Returns the file to save the libsvm-internal model to.
getNormalize() - Method in class weka.classifiers.functions.LibSVM: whether to normalize input data.
getNu() - Method in class weka.classifiers.functions.LibSVM: Gets nu of nu-SVC, one-class SVM, and nu-SVR (default 0.5).
getOptions() - Method in class weka.classifiers.functions.LibSVM: Returns the current options.
getProbabilityEstimates() - Method in class weka.classifiers.functions.LibSVM: Returns whether to generate probability estimates instead of -1/+1 for classification problems.
getRevision() - Method in class weka.classifiers.functions.LibSVM: Returns the revision string.
getShrinking() - Method in class weka.classifiers.functions.LibSVM: whether to use the shrinking heuristics.
getSVMType() - Method in class weka.classifiers.functions.LibSVM: Gets type of SVM.
getTechnicalInformation() - Method in class weka.classifiers.functions.LibSVM: 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.
getWeights() - Method in class weka.classifiers.functions.LibSVM: Gets the parameters C of class i to weight[i]*C, for C-SVC (default 1).
globalInfo() - Method in class weka.classifiers.functions.LibSVM: Returns a string describing classifier.

K

KERNELTYPE_LINEAR - Static variable in class weka.classifiers.functions.LibSVM: kernel type linear: u'*v.
KERNELTYPE_POLYNOMIAL - Static variable in class weka.classifiers.functions.LibSVM: kernel type polynomial: (gamma*u'*v + coef0)^degree.
KERNELTYPE_RBF - Static variable in class weka.classifiers.functions.LibSVM: kernel type radial basis function: exp(-gamma*|u-v|^2).
KERNELTYPE_SIGMOID - Static variable in class weka.classifiers.functions.LibSVM: kernel type sigmoid: tanh(gamma*u'*v + coef0).
kernelTypeTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.

L

LibSVM - Class in weka.classifiers.functions: A wrapper class for the libsvm library.
LibSVM() - Constructor for class weka.classifiers.functions.LibSVM
listOptions() - Method in class weka.classifiers.functions.LibSVM: Returns an enumeration describing the available options.
lossTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.

M

main(String[]) - Static method in class weka.classifiers.functions.LibSVM: Main method for testing this class.
modelFileTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.

N

normalizeTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.
nuTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.

P

probabilityEstimatesTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.

S

setCacheSize(double) - Method in class weka.classifiers.functions.LibSVM: Sets cache memory size in MB (default 40).
setCoef0(double) - Method in class weka.classifiers.functions.LibSVM: Sets coef (default 0).
setCost(double) - Method in class weka.classifiers.functions.LibSVM: Sets the parameter C of C-SVC, epsilon-SVR, and nu-SVR (default 1).
setDegree(int) - Method in class weka.classifiers.functions.LibSVM: Sets the degree of the kernel.
setDoNotReplaceMissingValues(boolean) - Method in class weka.classifiers.functions.LibSVM: Whether to turn off automatic replacement of missing values.
setEps(double) - Method in class weka.classifiers.functions.LibSVM: Sets tolerance of termination criterion (default 0.001).
setGamma(double) - Method in class weka.classifiers.functions.LibSVM: Sets gamma (default = 1/no of attributes).
setKernelType(SelectedTag) - Method in class weka.classifiers.functions.LibSVM: Sets type of kernel function (default KERNELTYPE_RBF).
setLoss(double) - Method in class weka.classifiers.functions.LibSVM: Sets the epsilon in loss function of epsilon-SVR (default 0.1).
setModelFile(File) - Method in class weka.classifiers.functions.LibSVM: Sets the file to save the libsvm-internal model to.
setNormalize(boolean) - Method in class weka.classifiers.functions.LibSVM: whether to normalize input data.
setNu(double) - Method in class weka.classifiers.functions.LibSVM: Sets nu of nu-SVC, one-class SVM, and nu-SVR (default 0.5).
setOptions(String[]) - Method in class weka.classifiers.functions.LibSVM: Sets the classifier options

Valid options are:
setProbabilityEstimates(boolean) - Method in class weka.classifiers.functions.LibSVM: Sets whether probability estimates are generated instead of -1/+1 for classification problems.
setShrinking(boolean) - Method in class weka.classifiers.functions.LibSVM: whether to use the shrinking heuristics.
setSVMType(SelectedTag) - Method in class weka.classifiers.functions.LibSVM: Sets type of SVM (default SVMTYPE_C_SVC).
setWeights(String) - Method in class weka.classifiers.functions.LibSVM: Sets the parameters C of class i to weight[i]*C, for C-SVC (default 1).
shrinkingTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.
SVMTYPE_C_SVC - Static variable in class weka.classifiers.functions.LibSVM: SVM type C-SVC (classification).
SVMTYPE_EPSILON_SVR - Static variable in class weka.classifiers.functions.LibSVM: SVM type epsilon-SVR (regression).
SVMTYPE_NU_SVC - Static variable in class weka.classifiers.functions.LibSVM: SVM type nu-SVC (classification).
SVMTYPE_NU_SVR - Static variable in class weka.classifiers.functions.LibSVM: SVM type nu-SVR (regression).
SVMTYPE_ONE_CLASS_SVM - Static variable in class weka.classifiers.functions.LibSVM: SVM type one-class SVM (classification).
SVMTypeTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.

T

TAGS_KERNELTYPE - Static variable in class weka.classifiers.functions.LibSVM: the different kernel types.
TAGS_SVMTYPE - Static variable in class weka.classifiers.functions.LibSVM: SVM types.
toString() - Method in class weka.classifiers.functions.LibSVM: returns a string representation.

W

weightsTipText() - Method in class weka.classifiers.functions.LibSVM: Returns the tip text for this property.
weka.classifiers.functions - package weka.classifiers.functions

B C D E G K L M N P S T W