Package gov.nih.mipav.view.renderer.WildMagic.ProstateFramework.liblinearsvm

Class Train

java.lang.Object

gov.nih.mipav.view.renderer.WildMagic.ProstateFramework.liblinearsvm.Train

public class Train
extends Object

Copyright (c) 2007-2014 The LIBLINEAR Project. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither name of copyright holders nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Field Summary

Fields

Modifier and Type	Field	Description
private double	bias
private boolean	cross_validation
private String	inputFilename
private Model	model
private String	modelFilename
private int	nr_fold
private Parameter	param
private Problem	prob

Constructor Summary

Constructors

Constructor	Description
Train()

Method Summary

Modifier and Type	Method	Description
private static Problem	constructProblem(List<Integer> vy, List<FeatureNode[]> vx, int max_index, double bias)
private void	do_cross_validation()
private void	exit_with_help()
(package private) double	getBias()
Model	getModel()
(package private) Parameter	getParameter()
(package private) Problem	getProblem()
static void	main(String[] args)
(package private) void	parse_command_line(String[] argv)
static Problem	readProblem(File file, double bias)	reads a problem from LibSVM format
(package private) void	readProblem(String filename)
void	run(Features[] featureArray, int numberFeatures)
void	run(String[] args)
void	run(List<Integer> classes, List<FeatureNode[]> feature, int numberFeatures)
private void	setParameters()

Methods inherited from class java.lang.Object

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

Field Details

bias

private double bias

cross_validation

private boolean cross_validation

inputFilename

private String inputFilename

modelFilename

private String modelFilename

nr_fold

private int nr_fold

param

private Parameter param

prob

private Problem prob

model

private Model model

Constructor Details

Train

public Train()

Method Details

main

public static void main(String[] args)
                 throws IOException,
InvalidInputDataException

Throws:

IOException

InvalidInputDataException

do_cross_validation

private void do_cross_validation()

exit_with_help

private void exit_with_help()

getProblem

Problem getProblem()

getBias

double getBias()

getParameter

Parameter getParameter()

parse_command_line

void parse_command_line(String[] argv)

setParameters

private void setParameters()

readProblem

public static Problem readProblem(File file,
 double bias)
                           throws IOException,
InvalidInputDataException

reads a problem from LibSVM format

Parameters:

filename - the name of the svm file

Throws:

IOException - obviously in case of any I/O exception ;)

InvalidInputDataException - if the input file is not correctly formatted

readProblem

void readProblem(String filename)
          throws IOException,
InvalidInputDataException

Throws:

IOException

InvalidInputDataException

constructProblem

private static Problem constructProblem(List<Integer> vy,
 List<FeatureNode[]> vx,
 int max_index,
 double bias)

run

public void run(String[] args)
         throws IOException,
InvalidInputDataException

Throws:

IOException

InvalidInputDataException

run

public void run(Features[] featureArray,
 int numberFeatures)

run

public void run(List<Integer> classes,
 List<FeatureNode[]> feature,
 int numberFeatures)

getModel

public Model getModel()