Package com.actelion.research.calc.regression.svm

Class ParameterSVM

java.lang.Object

com.actelion.research.calc.regression.ParameterRegressionMethod

com.actelion.research.calc.regression.svm.ParameterSVM

All Implemented Interfaces:

java.io.Serializable, java.lang.Comparable<ParameterRegressionMethod>

public class ParameterSVM
extends ParameterRegressionMethod

ParameterSVM

Modest v. Korff

Created by korffmo1 on 06.12.18.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
static java.lang.String	TAG_C
static java.lang.String	TAG_CACHE_SIZE
static java.lang.String	TAG_COEF0
static java.lang.String	TAG_DEGREE
static java.lang.String	TAG_EPSILON
static java.lang.String	TAG_GAMMA
static java.lang.String	TAG_KERNEL
static java.lang.String	TAG_NR_WEIGHT
static java.lang.String	TAG_NU
static java.lang.String	TAG_P
static java.lang.String	TAG_PROBABILITY
static java.lang.String	TAG_SHRINKING
static java.lang.String	TAG_SVM_TYPE

Fields inherited from class com.actelion.research.calc.regression.ParameterRegressionMethod

properties, TAG_NAME, TAG_STRING

Constructor Summary

Constructors

Modifier	Constructor	Description
	ParameterSVM()
	ParameterSVM(double nu)
	ParameterSVM(ParameterSVM parameterSVM)
protected	ParameterSVM(java.lang.String nameRegressionMethod)
	ParameterSVM(svm_parameter svmParameter)

Method Summary

Modifier and Type	Method	Description
int	compareTo(ParameterRegressionMethod o)
protected void	decodeProperties2Parameter()	Decodes the properties to the needed variables.
boolean	equals(java.lang.Object obj)
double	getGamma()
static java.util.List<java.lang.String>	getHeader()
double	getNu()
svm_parameter	getSvmParameter()
void	setC(double C)
void	setEpsilon(double eps)
void	setGamma(double gamma)
void	setKernelType(int kernelType)
void	setNu(double nu)
void	setSVMRegressionType(int svmType)
java.lang.String	toString()

Methods inherited from class com.actelion.research.calc.regression.ParameterRegressionMethod

copy, getName, getProperties, read, read, setName, write, write2String

Methods inherited from class java.lang.Object

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

Field Detail

TAG_SVM_TYPE

public static final java.lang.String TAG_SVM_TYPE

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Constant Field Values

TAG_KERNEL

public static final java.lang.String TAG_KERNEL

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Constant Field Values

TAG_DEGREE

public static final java.lang.String TAG_DEGREE

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Constant Field Values

TAG_GAMMA

public static final java.lang.String TAG_GAMMA

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Constant Field Values

TAG_COEF0

public static final java.lang.String TAG_COEF0

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Constant Field Values

TAG_CACHE_SIZE

public static final java.lang.String TAG_CACHE_SIZE

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Constant Field Values

TAG_EPSILON

public static final java.lang.String TAG_EPSILON

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Constant Field Values

TAG_C

public static final java.lang.String TAG_C

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Constant Field Values

TAG_NR_WEIGHT

public static final java.lang.String TAG_NR_WEIGHT

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Constant Field Values

TAG_NU

public static final java.lang.String TAG_NU

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Constant Field Values

TAG_P

public static final java.lang.String TAG_P

See Also:

Constant Field Values

TAG_SHRINKING

public static final java.lang.String TAG_SHRINKING

See Also:

Constant Field Values

TAG_PROBABILITY

public static final java.lang.String TAG_PROBABILITY

See Also:

Constant Field Values

Constructor Detail

ParameterSVM

public ParameterSVM()

ParameterSVM

public ParameterSVM(double nu)

ParameterSVM

public ParameterSVM(ParameterSVM parameterSVM)

ParameterSVM

public ParameterSVM(svm_parameter svmParameter)

ParameterSVM

protected ParameterSVM(java.lang.String nameRegressionMethod)

Method Detail

getSvmParameter

public svm_parameter getSvmParameter()

getGamma

public double getGamma()

getNu

public double getNu()

setGamma

public void setGamma(double gamma)

setNu

public void setNu(double nu)

setSVMRegressionType

public void setSVMRegressionType(int svmType)

setEpsilon

public void setEpsilon(double eps)

setKernelType

public void setKernelType(int kernelType)

setC

public void setC(double C)

compareTo

public int compareTo(ParameterRegressionMethod o)

equals

public boolean equals(java.lang.Object obj)

Overrides:

equals in class ParameterRegressionMethod

decodeProperties2Parameter

protected void decodeProperties2Parameter()

Description copied from class: ParameterRegressionMethod

Decodes the properties to the needed variables.

Specified by:

decodeProperties2Parameter in class ParameterRegressionMethod

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

getHeader

public static java.util.List<java.lang.String> getHeader()