edu.udo.cs.myKLR
Class KLR

java.lang.Object
  edu.udo.cs.myKLR.KLR

All Implemented Interfaces:

SVMInterface

public class KLR
extends java.lang.Object
implements SVMInterface

The main class for the Kernel Logistic Regression.

Version:

$Id: KLR.java,v 1.14 2006/08/03 14:39:33 ingomierswa Exp $

Author:

Stefan Rueping

Field Summary

(package private) double[]	alphas
(package private) boolean[]	at_bound
(package private) double	b
(package private) double	b_low
(package private) double	b_up
(package private) double	C
(package private) double	epsilon
protected ExampleSet	examples
(package private) double[]	Hcache
(package private) int	i_low
(package private) int	i_up
protected Kernel	kernel
(package private) int	max_iterations
(package private) double	mu
(package private) int	n
(package private) int	N1
(package private) int	N2
(package private) double[]	target
(package private) double	tol

Constructor Summary

KLR()

KLR(Operator paramOperator)

Method Summary

(package private) double	d2Phi(double t, int i, int j, double ai, double aj, double Kii, double Kij, double Kjj)
(package private) double	dG(double alpha)
(package private) double	dPhi(double t, int i, int j, double ai, double aj, double Kii, double Kij, double Kjj)
double	getB() Returns the value of b.
double[]	getWeights() Return the weights of the features.
void	init(Kernel new_kernel, ExampleSet new_examples) Initializes this SVM.
void	klr()
double	predict(Example example) Perform a prediction of label for all examples.
void	predict(ExampleSet to_predict) Perform a prediction of label for all examples.
protected boolean	takeStep(int i, int j)
void	train() Train this SVM.

Methods inherited from class java.lang.Object

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

Field Detail

kernel

protected Kernel kernel

examples

protected ExampleSet examples

n

int n

target

double[] target

N1

int N1

N2

int N2

alphas

double[] alphas

Hcache

double[] Hcache

at_bound

boolean[] at_bound

i_up

int i_up

i_low

int i_low

b

double b

b_up

double b_up

b_low

double b_low

tol

double tol

C

double C

epsilon

double epsilon

mu

double mu

max_iterations

int max_iterations

Constructor Detail

KLR

public KLR()

KLR

public KLR(Operator paramOperator)
    throws UndefinedParameterError

Throws:

UndefinedParameterError

Method Detail

init

public void init(Kernel new_kernel,
                 ExampleSet new_examples)

Description copied from interface: SVMInterface

Initializes this SVM.

Specified by:

init in interface SVMInterface

dG

final double dG(double alpha)

dPhi

final double dPhi(double t,
                  int i,
                  int j,
                  double ai,
                  double aj,
                  double Kii,
                  double Kij,
                  double Kjj)

d2Phi

final double d2Phi(double t,
                   int i,
                   int j,
                   double ai,
                   double aj,
                   double Kii,
                   double Kij,
                   double Kjj)

takeStep

protected boolean takeStep(int i,
                           int j)

klr

public void klr()

predict

public double predict(Example example)

Description copied from interface: SVMInterface

Perform a prediction of label for all examples.

Specified by:

predict in interface SVMInterface

predict

public void predict(ExampleSet to_predict)

Description copied from interface: SVMInterface

Perform a prediction of label for all examples.

Specified by:

predict in interface SVMInterface

train

public void train()

Description copied from interface: SVMInterface

Train this SVM.

Specified by:

train in interface SVMInterface

getWeights

public double[] getWeights()

Return the weights of the features.

Specified by:

getWeights in interface SVMInterface

getB

public double getB()

Returns the value of b.

Specified by:

getB in interface SVMInterface