eu.fbk.utils.svm

Class Classifier.Parameters

java.lang.Object

eu.fbk.utils.svm.Classifier.Parameters

Enclosing class:

Classifier

public static final class Classifier.Parameters
extends Object

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object object)
static Classifier.Parameters	forLinearL1LossL2Reg(int numLabels, float[] weights, Float c, Float bias)
static Classifier.Parameters	forLinearL2LossL1Reg(int numLabels, float[] weights, Float c, Float bias)
static Classifier.Parameters	forLinearL2LossL2Reg(int numLabels, float[] weights, Float c, Float bias, Boolean dual)
static Classifier.Parameters	forLinearLRLossL1Reg(int numLabels, float[] weights, Float c, Float bias)
static Classifier.Parameters	forLinearLRLossL2Reg(int numLabels, float[] weights, Float c, Float bias, Boolean dual)
static Classifier.Parameters	forProperties(Properties properties, String prefix)
static Classifier.Parameters	forSVMLinearKernel(int numLabels, float[] weights, Float c)
static Classifier.Parameters	forSVMPolyKernel(int numLabels, float[] weights, Float c, Float gamma, Float coeff, Integer degree)
static Classifier.Parameters	forSVMRBFKernel(int numLabels, float[] weights, Float c, Float gamma)
static Classifier.Parameters	forSVMSigmoidKernel(int numLabels, float[] weights, Float c, Float gamma, Float coeff)
Classifier.Algorithm	getAlgorithm()
Float	getBias()
float	getC()
Float	getCoeff()
Integer	getDegree()
Boolean	getDual()
Float	getGamma()
int	getNumLabels()
float[]	getWeights()
List<Classifier.Parameters>	grid(int maxCombinations, float multiplier)
int	hashCode()
Properties	toProperties(Properties properties, String prefix)
String	toString()

Methods inherited from class java.lang.Object

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

Method Detail

forLinearLRLossL1Reg

public static Classifier.Parameters forLinearLRLossL1Reg(int numLabels,
                                                         @Nullable
                                                         float[] weights,
                                                         @Nullable
                                                         Float c,
                                                         @Nullable
                                                         Float bias)

forLinearLRLossL2Reg

public static Classifier.Parameters forLinearLRLossL2Reg(int numLabels,
                                                         @Nullable
                                                         float[] weights,
                                                         @Nullable
                                                         Float c,
                                                         @Nullable
                                                         Float bias,
                                                         @Nullable
                                                         Boolean dual)

forLinearL2LossL1Reg

public static Classifier.Parameters forLinearL2LossL1Reg(int numLabels,
                                                         @Nullable
                                                         float[] weights,
                                                         @Nullable
                                                         Float c,
                                                         @Nullable
                                                         Float bias)

forLinearL2LossL2Reg

public static Classifier.Parameters forLinearL2LossL2Reg(int numLabels,
                                                         @Nullable
                                                         float[] weights,
                                                         @Nullable
                                                         Float c,
                                                         @Nullable
                                                         Float bias,
                                                         @Nullable
                                                         Boolean dual)

forLinearL1LossL2Reg

public static Classifier.Parameters forLinearL1LossL2Reg(int numLabels,
                                                         @Nullable
                                                         float[] weights,
                                                         @Nullable
                                                         Float c,
                                                         @Nullable
                                                         Float bias)

forSVMLinearKernel

public static Classifier.Parameters forSVMLinearKernel(int numLabels,
                                                       @Nullable
                                                       float[] weights,
                                                       @Nullable
                                                       Float c)

forSVMRBFKernel

public static Classifier.Parameters forSVMRBFKernel(int numLabels,
                                                    @Nullable
                                                    float[] weights,
                                                    @Nullable
                                                    Float c,
                                                    @Nullable
                                                    Float gamma)

forSVMSigmoidKernel

public static Classifier.Parameters forSVMSigmoidKernel(int numLabels,
                                                        @Nullable
                                                        float[] weights,
                                                        @Nullable
                                                        Float c,
                                                        @Nullable
                                                        Float gamma,
                                                        @Nullable
                                                        Float coeff)

forSVMPolyKernel

public static Classifier.Parameters forSVMPolyKernel(int numLabels,
                                                     @Nullable
                                                     float[] weights,
                                                     @Nullable
                                                     Float c,
                                                     @Nullable
                                                     Float gamma,
                                                     @Nullable
                                                     Float coeff,
                                                     @Nullable
                                                     Integer degree)

forProperties

public static Classifier.Parameters forProperties(Properties properties,
                                                  @Nullable
                                                  String prefix)

getAlgorithm

public Classifier.Algorithm getAlgorithm()

getNumLabels

public int getNumLabels()

getWeights

@Nullable
public float[] getWeights()

getC

public float getC()

getBias

@Nullable
public Float getBias()

getDual

@Nullable
public Boolean getDual()

getGamma

@Nullable
public Float getGamma()

getDegree

@Nullable
public Integer getDegree()

getCoeff

@Nullable
public Float getCoeff()

grid

public List<Classifier.Parameters> grid(int maxCombinations,
                                        float multiplier)

equals

public boolean equals(Object object)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

toString

public String toString()

Overrides:

toString in class Object

toProperties

public Properties toProperties(@Nullable
                               Properties properties,
                               @Nullable
                               String prefix)