com.rapidminer.operator.learner.functions.kernel.logistic
Class KLR

java.lang.Object
  com.rapidminer.operator.learner.functions.kernel.logistic.KLR

All Implemented Interfaces:

SVMInterface

public class KLR
extends java.lang.Object
implements SVMInterface

The main class for the Kernel Logistic Regression.

Author:

Stefan Rueping

Field Summary

protected SVMExamples	examples
protected Kernel	kernel

Constructor Summary

KLR()

KLR(Operator paramOperator)

Method Summary

double	getB() Returns the value of b.
double[]	getWeights() Return the weights of the features.
void	init(Kernel new_kernel, SVMExamples new_examples) Initializes this SVM.
void	klr()
double	predict(SVMExample sVMExample) Perform a prediction of label for all examples.
void	predict(SVMExamples 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 SVMExamples examples

Constructor Detail

KLR

public KLR()

KLR

public KLR(Operator paramOperator)
    throws UndefinedParameterError

Throws:

UndefinedParameterError

Method Detail

init

public void init(Kernel new_kernel,
                 SVMExamples new_examples)

Description copied from interface: SVMInterface

Initializes this SVM.

Specified by:

init in interface SVMInterface

takeStep

protected boolean takeStep(int i,
                           int j)

klr

public void klr()

predict

public double predict(SVMExample sVMExample)

Description copied from interface: SVMInterface

Perform a prediction of label for all examples.

Specified by:

predict in interface SVMInterface

predict

public void predict(SVMExamples 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