it.uniroma2.sag.kelp.learningalgorithm.classification.liblinear.solver

Class Tron

java.lang.Object

it.uniroma2.sag.kelp.learningalgorithm.classification.liblinear.solver.Tron

public class Tron
extends Object

Trust Region Newton Method optimization
NOTE: This code has been adapted from the Java port of the original LIBLINEAR C++ sources. Original Java sources (v 1.94) are available at http://liblinear.bwaldvogel.de

Author:

Danilo Croce

Constructor Summary

Constructors

Constructor and Description
Tron(it.uniroma2.sag.kelp.learningalgorithm.classification.liblinear.solver.TronFunction fun_obj)
Tron(it.uniroma2.sag.kelp.learningalgorithm.classification.liblinear.solver.TronFunction fun_obj, double eps)
Tron(it.uniroma2.sag.kelp.learningalgorithm.classification.liblinear.solver.TronFunction fun_obj, double eps, int max_iter)

Method Summary

Methods

Modifier and Type	Method and Description
void	tron(double[] w)

Methods inherited from class java.lang.Object

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

Constructor Detail

Tron

public Tron(it.uniroma2.sag.kelp.learningalgorithm.classification.liblinear.solver.TronFunction fun_obj)

Tron

public Tron(it.uniroma2.sag.kelp.learningalgorithm.classification.liblinear.solver.TronFunction fun_obj,
    double eps)

Tron

public Tron(it.uniroma2.sag.kelp.learningalgorithm.classification.liblinear.solver.TronFunction fun_obj,
    double eps,
    int max_iter)

Method Detail

tron

public void tron(double[] w)