com.github.pmerienne.trident.ml.regression

Class PerceptronRegressor

java.lang.Object

com.github.pmerienne.trident.ml.regression.PerceptronRegressor

All Implemented Interfaces:

Regressor, Serializable

public class PerceptronRegressor
extends Object
implements Regressor

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
double	learningRate

Constructor Summary

Constructors

Constructor and Description
PerceptronRegressor()
PerceptronRegressor(double learningRate)

Method Summary

Methods

Modifier and Type	Method and Description
double	getLearningRate()
double[]	getWeights()
protected void	initWeights(int size)
Double	predict(double[] features)
void	reset()
void	setLearningRate(double learningRate)
void	setWeights(double[] weights)
String	toString()
void	update(Double expected, double[] features)

Methods inherited from class java.lang.Object

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

Field Detail

learningRate

public double learningRate

Constructor Detail

PerceptronRegressor

public PerceptronRegressor()

PerceptronRegressor

public PerceptronRegressor(double learningRate)

Method Detail

predict

public Double predict(double[] features)

Specified by:

predict in interface Regressor

update

public void update(Double expected,
          double[] features)

Specified by:

update in interface Regressor

initWeights

protected void initWeights(int size)

reset

public void reset()

Specified by:

reset in interface Regressor

getWeights

public double[] getWeights()

setWeights

public void setWeights(double[] weights)

getLearningRate

public double getLearningRate()

setLearningRate

public void setLearningRate(double learningRate)

toString

public String toString()

Overrides:

toString in class Object