org.tribuo.common.libsvm

Class SVMParameters<T extends Output<T>>

java.lang.Object

org.tribuo.common.libsvm.SVMParameters<T>

All Implemented Interfaces:

Serializable

public class SVMParameters<T extends Output<T>>
extends Object
implements Serializable

A container for SVM parameters and the kernel.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected KernelType	kernelType
protected libsvm.svm_parameter	parameters
protected SVMType<T>	svmType

Constructor Summary

Constructors

Constructor and Description
SVMParameters(SVMType<T> svmType, KernelType kernelType)

Method Summary

Modifier and Type	Method and Description
static libsvm.svm_parameter	copyParameters(libsvm.svm_parameter input) Deep copy of the svm_parameters including the arrays.
double	getGamma()
KernelType	getKernelType()
libsvm.svm_parameter	getParameters()
SVMType<T>	getSvmType()
void	setCacheSize(double cacheMB)
void	setCoeff(double coeff)
void	setCost(double c)
void	setDegree(int degree)
void	setEpsilon(double epsilon)
void	setGamma(double gamma)
void	setNu(double nu)
void	setProbability() Makes the model that is built provide probability estimates.
static String	svmParamsToString(libsvm.svm_parameter param) A sensible toString for svm_parameter.
String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

svmType

protected final SVMType<T extends Output<T>> svmType

kernelType

protected final KernelType kernelType

parameters

protected final libsvm.svm_parameter parameters

Constructor Detail

SVMParameters

public SVMParameters(SVMType<T> svmType,
                     KernelType kernelType)

Method Detail

getSvmType

public SVMType<T> getSvmType()

getKernelType

public KernelType getKernelType()

getParameters

public libsvm.svm_parameter getParameters()

toString

public String toString()

Overrides:

toString in class Object

setProbability

public void setProbability()

Makes the model that is built provide probability estimates.

setCost

public void setCost(double c)

setNu

public void setNu(double nu)

setCoeff

public void setCoeff(double coeff)

setEpsilon

public void setEpsilon(double epsilon)

setDegree

public void setDegree(int degree)

setGamma

public void setGamma(double gamma)

getGamma

public double getGamma()

setCacheSize

public void setCacheSize(double cacheMB)

copyParameters

public static libsvm.svm_parameter copyParameters(libsvm.svm_parameter input)

Deep copy of the svm_parameters including the arrays.

Parameters:

input - The parameters to copy.

Returns:

A copy of the svm_parameters.

svmParamsToString

public static String svmParamsToString(libsvm.svm_parameter param)

A sensible toString for svm_parameter.

Parameters:

param - The parameters.

Returns:

A String describing the parameters.