B C D E G I 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.

I

isPresent() - Static method in class weka.classifiers.functions.LibSVM
returns whether the libsvm classes are present or not, i.e.

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 tools (the libsvm classes, typically the jar file, need to be in the classpath to use this classifier).
LibSVM runs faster than SMO since it uses LibSVM to build the SVM classifier.
LibSVM allows users to experiment with One-class SVM, Regressing SVM, and nu-SVM supported by LibSVM tool.
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 I K L M N P S T W