Package org.instantsvm

Class SVM

java.lang.Object

org.instantsvm.SVM

Direct Known Subclasses:

RegressionSVM

public class SVM
extends Object

Field Summary

Fields

Modifier and Type	Field	Description
protected svm_model	model
protected svm_parameter	param
protected Parameters	parameters
protected svm_problem	prob

Constructor Summary

Constructors

Constructor	Description
SVM()
SVM(String filename)
SVM(svm_model model)

Method Summary

Modifier and Type	Method	Description
double[]	apply(Vector<svm_node[]> x)
protected double	do_cross_validation(int nr_fold)
double[][]	getCoefs()
Parameters	getDefaultParameters()
Parameters	getParameters()
svm_node[][]	getSupportVectors()
void	load(String filename)
protected void	load(Vector<svm_node[]> vx, Vector<Double> vy)
protected void	mountModel(svm_model model)
protected double[]	predict(Vector<svm_node[]> x, double[] targets, int predict_probability)
void	print()
void	save(String filename)
void	save(String directory, String filename)
void	train(Vector<svm_node[]> vx, Vector<Double> vy)
void	train(Vector<svm_node[]> vx, Vector<Double> vy, Parameters parameters)
XValResult	xval(Vector<svm_node[]> vx, Vector<Double> vy, Parameters parameters, int nrfold, double cMin, double cMax, int cSteps, double gMin, double gMax, int gSteps)

Methods inherited from class java.lang.Object

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

Field Details

param

protected svm_parameter param

prob

protected svm_problem prob

model

protected svm_model model

parameters

protected Parameters parameters

Constructor Details

SVM

public SVM()

SVM

public SVM(String filename)
    throws IOException

Throws:

IOException

SVM

public SVM(svm_model model)

Method Details

train

public void train(Vector<svm_node[]> vx,
 Vector<Double> vy)

train

public void train(Vector<svm_node[]> vx,
 Vector<Double> vy,
 Parameters parameters)

xval

public XValResult xval(Vector<svm_node[]> vx,
 Vector<Double> vy,
 Parameters parameters,
 int nrfold,
 double cMin,
 double cMax,
 int cSteps,
 double gMin,
 double gMax,
 int gSteps)

apply

public double[] apply(Vector<svm_node[]> x)

getParameters

public Parameters getParameters()

getSupportVectors

public svm_node[][] getSupportVectors()

getCoefs

public double[][] getCoefs()

save

public void save(String directory,
 String filename)
          throws IOException

Throws:

IOException

save

public void save(String filename)
          throws IOException

Throws:

IOException

load

public void load(String filename)
          throws IOException

Throws:

IOException

print

public void print()

getDefaultParameters

public Parameters getDefaultParameters()

mountModel

protected void mountModel(svm_model model)

load

protected void load(Vector<svm_node[]> vx,
 Vector<Double> vy)

predict

protected double[] predict(Vector<svm_node[]> x,
 double[] targets,
 int predict_probability)

do_cross_validation

protected double do_cross_validation(int nr_fold)