Catalano.MachineLearning.Regression

Class RadiusNearestNeighbors

java.lang.Object

Catalano.MachineLearning.Regression.RadiusNearestNeighbors

All Implemented Interfaces:

IRegression, java.io.Serializable, java.lang.Cloneable

public class RadiusNearestNeighbors
extends java.lang.Object
implements IRegression, java.io.Serializable

Radius Nearest Neighbors for regression.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
RadiusNearestNeighbors() Initializes a new instance of the RadiusNearestNeighbors class.
RadiusNearestNeighbors(double radius) Initializes a new instance of the RadiusNearestNeighbors class.
RadiusNearestNeighbors(double radius, IDivergence divergence) Initializes a new instance of the RadiusNearestNeighbors class.
RadiusNearestNeighbors(double radius, IMercerKernel kernel) Initializes a new instance of the RadiusNearestNeighbors class.

Method Summary

Modifier and Type	Method and Description
IRegression	clone() Clone of the object.
double	getRadius() Get radius.
void	Learn(DatasetRegression dataset) Learn.
void	Learn(double[][] input, double[] output) Learn.
double	Predict(double[] feature) Predict.
void	setRadius(double radius) Set radius.

Methods inherited from class java.lang.Object

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

Constructor Detail

RadiusNearestNeighbors

public RadiusNearestNeighbors()

Initializes a new instance of the RadiusNearestNeighbors class.

RadiusNearestNeighbors

public RadiusNearestNeighbors(double radius)

Initializes a new instance of the RadiusNearestNeighbors class.

Parameters:

radius - Radius.

RadiusNearestNeighbors

public RadiusNearestNeighbors(double radius,
                              IDivergence divergence)

Initializes a new instance of the RadiusNearestNeighbors class.

Parameters:

radius - Radius.

divergence - Divergence.

RadiusNearestNeighbors

public RadiusNearestNeighbors(double radius,
                              IMercerKernel kernel)

Initializes a new instance of the RadiusNearestNeighbors class.

Parameters:

radius - Radius.

kernel - Kernel.

Method Detail

getRadius

public double getRadius()

Get radius.

Returns:

Radius.

setRadius

public void setRadius(double radius)

Set radius.

Parameters:

radius - Radius.

Learn

public void Learn(DatasetRegression dataset)

Description copied from interface: IRegression

Learn.

Specified by:

Learn in interface IRegression

Parameters:

dataset - Dataset regression.

Learn

public void Learn(double[][] input,
                  double[] output)

Description copied from interface: IRegression

Learn.

Specified by:

Learn in interface IRegression

Parameters:

input - Input.

output - Output.

Predict

public double Predict(double[] feature)

Description copied from interface: IRegression

Predict.

Specified by:

Predict in interface IRegression

Parameters:

feature - Feature.

Returns:

Value.

clone

public IRegression clone()

Description copied from interface: IRegression

Clone of the object.

Specified by:

clone in interface IRegression

Overrides:

clone in class java.lang.Object

Returns:

A new copy of the object.