Package de.bwaldvogel.liblinear

Class Parameter

java.lang.Object

de.bwaldvogel.liblinear.Parameter

All Implemented Interfaces:

Cloneable

public final class Parameter
extends Object
implements Cloneable

Field Summary

Fields

Modifier and Type	Field	Description
(package private) double	C
private static final long	DEFAULT_RANDOM_SEED
(package private) double	eps	stopping tolerance
(package private) double[]	init_sol	Initial-solution specification (only supported for SolverType.L2R_LR and SolverType.L2R_L2LOSS_SVC)
(package private) int	max_iters
(package private) double	nu
(package private) double	p
(package private) Random	random
(package private) boolean	regularize_bias
(package private) SolverType	solverType
(package private) double[]	weight
(package private) int[]	weightLabel

Constructor Summary

Constructors

Constructor	Description
Parameter(SolverType solver, double C, double eps)
Parameter(SolverType solverType, double C, double eps, double p)
Parameter(SolverType solverType, double C, double eps, int max_iters, double p)
Parameter(SolverType solver, double C, int max_iters, double eps)

Method Summary

Modifier and Type	Method	Description
Parameter	clone()
private static Random	deepClone(Random random)
double	getC()
double	getEps()
double[]	getInitSol()
int	getMaxIters()
double	getNu()
int	getNumWeights()	the number of weights
double	getP()
SolverType	getSolverType()
int[]	getWeightLabels()
double[]	getWeights()
boolean	isRegularizeBias()
void	setC(double C)	C is the cost of constraints violation.
void	setEps(double eps)	eps is the stopping criterion.
void	setInitSol(double[] init_sol)
void	setMaxIters(int iters)
void	setNu(double nu)
void	setP(double p)	set the epsilon in loss function of epsilon-SVR (default 0.1)
void	setRandom(Random random)
void	setRegularizeBias(boolean regularizeBias)
void	setSolverType(SolverType solverType)
void	setWeights(double[] weights, int[] weightLabels)	nr_weight, weight_label, and weight are used to change the penalty for some classes (If the weight for a class is not changed, it is set to 1).

Methods inherited from class java.lang.Object

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

Field Details

DEFAULT_RANDOM_SEED

private static final long DEFAULT_RANDOM_SEED

See Also:

• Constant Field Values

C

double C

eps

double eps

stopping tolerance

max_iters

int max_iters

solverType

SolverType solverType

weight

double[] weight

weightLabel

int[] weightLabel

p

double p

nu

double nu

init_sol

double[] init_sol

Initial-solution specification (only supported for SolverType.L2R_LR and SolverType.L2R_L2LOSS_SVC)

regularize_bias

boolean regularize_bias

random

Random random

Constructor Details

Parameter

public Parameter(SolverType solver,
 double C,
 double eps)

Parameter

public Parameter(SolverType solver,
 double C,
 int max_iters,
 double eps)

Parameter

public Parameter(SolverType solverType,
 double C,
 double eps,
 double p)

Parameter

public Parameter(SolverType solverType,
 double C,
 double eps,
 int max_iters,
 double p)

Method Details

setWeights

public void setWeights(double[] weights,
 int[] weightLabels)

nr_weight, weight_label, and weight are used to change the penalty for some classes (If the weight for a class is not changed, it is set to 1). This is useful for training classifier using unbalanced input data or with asymmetric misclassification cost.

Each weight[i] corresponds to weight_label[i], meaning that the penalty of class weight_label[i] is scaled by a factor of weight[i].

If you do not want to change penalty for any of the classes, just set nr_weight to 0.

getWeights

public double[] getWeights()

See Also:

• setWeights(double[], int[])

getWeightLabels

public int[] getWeightLabels()

See Also:

• setWeights(double[], int[])

getNumWeights

public int getNumWeights()

the number of weights

See Also:

• setWeights(double[], int[])

setC

public void setC(double C)

C is the cost of constraints violation. (we usually use 1 to 1000)

getC

public double getC()

setEps

public void setEps(double eps)

eps is the stopping criterion. (we usually use 0.01).

getEps

public double getEps()

setMaxIters

public void setMaxIters(int iters)

getMaxIters

public int getMaxIters()

setSolverType

public void setSolverType(SolverType solverType)

getSolverType

public SolverType getSolverType()

setP

public void setP(double p)

set the epsilon in loss function of epsilon-SVR (default 0.1)

getP

public double getP()

setInitSol

public void setInitSol(double[] init_sol)

getInitSol

public double[] getInitSol()

setNu

public void setNu(double nu)

getNu

public double getNu()

setRegularizeBias

public void setRegularizeBias(boolean regularizeBias)

isRegularizeBias

public boolean isRegularizeBias()

setRandom

public void setRandom(Random random)

clone

public Parameter clone()

Overrides:

clone in class Object

deepClone

private static Random deepClone(Random random)