Package elki.svm.model

Class ProbabilisticClassificationModel

java.lang.Object

elki.svm.model.Model

elki.svm.model.ClassificationModel

elki.svm.model.ProbabilisticClassificationModel

public class ProbabilisticClassificationModel
extends ClassificationModel

Field Summary

Fields

Modifier and Type	Field	Description
private static Logging	LOG	Class logger
double[]	probA
double[]	probB

Fields inherited from class elki.svm.model.ClassificationModel

label, nSV

Fields inherited from class elki.svm.model.Model

l, nr_class, r_square, rho, sv_coef, sv_indices

Constructor Summary

Constructors

Constructor	Description
ProbabilisticClassificationModel()

Method Summary

Modifier and Type	Method	Description
private static void	multiclass_probability(int k, double[][] r, double[] p)
int	predict_prob(DataSet x, int xi, double[] prob_estimates)
private static double	sigmoid_predict(double decision_value, double A, double B)

Methods inherited from class elki.svm.model.ClassificationModel

predict, predict

Methods inherited from class java.lang.Object

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

Field Detail

LOG

private static final Logging LOG

Class logger

probA

public double[] probA

probB

public double[] probB

Constructor Detail

ProbabilisticClassificationModel

public ProbabilisticClassificationModel()

Method Detail

predict_prob

public int predict_prob(DataSet x,
                        int xi,
                        double[] prob_estimates)

sigmoid_predict

private static double sigmoid_predict(double decision_value,
                                      double A,
                                      double B)

multiclass_probability

private static void multiclass_probability(int k,
                                           double[][] r,
                                           double[] p)