Catalano.MachineLearning.Classification

Class SupportVectorMachine

java.lang.Object

Catalano.MachineLearning.Classification.SupportVectorMachine

All Implemented Interfaces:

IClassifier, java.io.Serializable, java.lang.Cloneable

public class SupportVectorMachine
extends java.lang.Object
implements IClassifier, java.io.Serializable

Support Vector Machine.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
SupportVectorMachine(IMercerKernel kernel, double c) Initializes a new instance of the SupportVectorMachine class.
SupportVectorMachine(IMercerKernel kernel, double c, double cn) Initializes a new instance of the SupportVectorMachine class.

Method Summary

Modifier and Type	Method and Description
IClassifier	clone() Clone of the object.
void	Finish()
void	Learn(DatasetClassification dataset) Learn from a dataset.
void	Learn(double[][] input, int[] output) Learn.
void	Learn(double[] input, int output) Online learn.
int	Predict(double[] feature) Predict.

Methods inherited from class java.lang.Object

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

Constructor Detail

SupportVectorMachine

public SupportVectorMachine(IMercerKernel kernel,
                            double c)

Initializes a new instance of the SupportVectorMachine class.

Parameters:

kernel - Mercer kernel.

c - Soft margin penalty parameter.

SupportVectorMachine

public SupportVectorMachine(IMercerKernel kernel,
                            double c,
                            double cn)

Initializes a new instance of the SupportVectorMachine class.

Parameters:

kernel - Mercer kernel.

c - Soft margin penalty parameter for positive instances.

cn - Soft margin penalty parameter for negative instances.

Method Detail

Learn

public void Learn(DatasetClassification dataset)

Description copied from interface: IClassifier

Learn from a dataset.

Specified by:

Learn in interface IClassifier

Parameters:

dataset - Dataset.

Learn

public void Learn(double[][] input,
                  int[] output)

Description copied from interface: IClassifier

Learn.

Specified by:

Learn in interface IClassifier

Parameters:

input - Matrix of features.

output - Labels.

Learn

public void Learn(double[] input,
                  int output)

Online learn.

Parameters:

input - Feature.

output - Label.

Predict

public int Predict(double[] feature)

Description copied from interface: IClassifier

Predict.

Specified by:

Predict in interface IClassifier

Parameters:

feature - Feature.

Returns:

Label.

clone

public IClassifier clone()

Description copied from interface: IClassifier

Clone of the object.

Specified by:

clone in interface IClassifier

Overrides:

clone in class java.lang.Object

Returns:

A new copy of the object.

Finish

public void Finish()