weka.classifiers.functions

Class SMO.BinarySMO

java.lang.Object

weka.classifiers.functions.SMO.BinarySMO

All Implemented Interfaces:

java.io.Serializable

Enclosing class:

SMO

public class SMO.BinarySMO
extends java.lang.Object
implements java.io.Serializable

Class for building a binary support vector machine.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BinarySMO()

Method Summary

Modifier and Type	Method and Description
Kernel	getKernel() Returns the kernel to use
java.lang.String	getRevision() Returns the revision string.
void	setKernel(Kernel value) sets the kernel to use
double	SVMOutput(int index, Instance inst) Computes SVM output for given instance.
java.lang.String	toString() Prints out the classifier.

Methods inherited from class java.lang.Object

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

Constructor Detail

BinarySMO

public BinarySMO()

Method Detail

setKernel

public void setKernel(Kernel value)

sets the kernel to use

Parameters:

value - the kernel to use

getKernel

public Kernel getKernel()

Returns the kernel to use

Returns:

the current kernel

SVMOutput

public double SVMOutput(int index,
                        Instance inst)
                 throws java.lang.Exception

Computes SVM output for given instance.

Parameters:

index - the instance for which output is to be computed

inst - the instance

Returns:

the output of the SVM for the given instance

Throws:

java.lang.Exception - in case of an error

toString

public java.lang.String toString()

Prints out the classifier.

Overrides:

toString in class java.lang.Object

Returns:

a description of the classifier as a string

getRevision

public java.lang.String getRevision()

Returns the revision string.

Returns:

the revision