Package elki.svm

Class AbstractSVC

java.lang.Object

elki.svm.AbstractSingleSVM

elki.svm.AbstractSVC

Direct Known Subclasses:

CSVC, NuSVC

public abstract class AbstractSVC
extends AbstractSingleSVM

Field Summary

Fields

Modifier and Type	Field	Description
(package private) boolean	probability

Fields inherited from class elki.svm.AbstractSingleSVM

cache_size, eps, MONE, ONE, shrinking

Constructor Summary

Constructors

Constructor	Description
AbstractSVC(double eps, boolean shrinking, double cache_size)

Method Summary

Modifier and Type	Method	Description
private double[]	binary_svc_probability(DataSet x, double Cp, double Cn)
void	cross_validation(DataSet x, double[] weighted_C, int nr_fold, double[] target)
private double[]	sigmoid_train(double[] dec_values, DataSet x)
ClassificationModel	train(DataSet x)
ClassificationModel	train(DataSet x, double[] weighted_C)

Methods inherited from class elki.svm.AbstractSingleSVM

getLogger, groupClasses, makeFolds, nonzero, set_weights, shuffledIndex, solve, stratifiedFolds, train_one

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

probability

boolean probability

Constructor Detail

AbstractSVC

public AbstractSVC(double eps,
                   boolean shrinking,
                   double cache_size)

Method Detail

train

public ClassificationModel train(DataSet x)

train

public ClassificationModel train(DataSet x,
                                 double[] weighted_C)

cross_validation

public void cross_validation(DataSet x,
                             double[] weighted_C,
                             int nr_fold,
                             double[] target)

sigmoid_train

private double[] sigmoid_train(double[] dec_values,
                               DataSet x)

binary_svc_probability

private double[] binary_svc_probability(DataSet x,
                                        double Cp,
                                        double Cn)