- getBias() - Method in class weka.classifiers.functions.LibLINEAR
-
Returns bias term value (default 1)
No bias term is added if value < 0
- getCapabilities() - Method in class weka.classifiers.functions.LibLINEAR
-
Returns default capabilities of the classifier.
- getCost() - Method in class weka.classifiers.functions.LibLINEAR
-
Returns the cost parameter C
- getEps() - Method in class weka.classifiers.functions.LibLINEAR
-
Gets tolerance of termination criterion
- getEpsilonParameter() - Method in class weka.classifiers.functions.LibLINEAR
-
Get the value of epsilon parameter of the epsilon insensitive loss
function.
- getMaximumNumberOfIterations() - Method in class weka.classifiers.functions.LibLINEAR
-
Get the number of iterations to perform.
- getModel() - Method in class weka.classifiers.functions.LibLINEAR
-
- getNormalize() - Method in class weka.classifiers.functions.LibLINEAR
-
whether to normalize input data
- getOptions() - Method in class weka.classifiers.functions.LibLINEAR
-
Returns the current options
- getProbabilityEstimates() - Method in class weka.classifiers.functions.LibLINEAR
-
Sets whether to generate probability estimates instead of -1/+1 for
classification problems.
- getRevision() - Method in class weka.classifiers.functions.LibLINEAR
-
Returns the revision string.
- getSVMType() - Method in class weka.classifiers.functions.LibLINEAR
-
Gets type of SVM
- getTechnicalInformation() - Method in class weka.classifiers.functions.LibLINEAR
-
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.LibLINEAR
-
Gets the parameters C of class i to weight[i]*C (default 1).
- globalInfo() - Method in class weka.classifiers.functions.LibLINEAR
-
Returns a string describing classifier