jsat.regression

Class NadarayaWatson

java.lang.Object

jsat.regression.NadarayaWatson

All Implemented Interfaces:

Serializable, Cloneable, Parameterized, Regressor

public class NadarayaWatson
extends Object
implements Regressor, Parameterized

The Nadaraya-Watson regressor uses the Kernel Density Estimator to perform regression on a data set.
Nadaraya-Watson can also be expressed as a classifier, and equivalent results can be obtained by combining a KDE with BestClassDistribution.

Author:

Edward Raff

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
NadarayaWatson(MultivariateKDE kde)

Method Summary

Modifier and Type	Method and Description
NadarayaWatson	clone()
Parameter	getParameter(String paramName) Returns the parameter with the given name.
List<Parameter>	getParameters() Returns the list of parameters that can be altered for this learner.
double	regress(DataPoint data)
boolean	supportsWeightedData()
void	train(RegressionDataSet dataSet)
void	train(RegressionDataSet dataSet, ExecutorService threadPool)

Methods inherited from class java.lang.Object

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

Constructor Detail

NadarayaWatson

public NadarayaWatson(MultivariateKDE kde)

Method Detail

regress

public double regress(DataPoint data)

Specified by:

regress in interface Regressor

train

public void train(RegressionDataSet dataSet,
                  ExecutorService threadPool)

Specified by:

train in interface Regressor

train

public void train(RegressionDataSet dataSet)

Specified by:

train in interface Regressor

supportsWeightedData

public boolean supportsWeightedData()

Specified by:

supportsWeightedData in interface Regressor

clone

public NadarayaWatson clone()

Specified by:

clone in interface Regressor

Overrides:

clone in class Object

getParameters

public List<Parameter> getParameters()

Description copied from interface: Parameterized

Returns the list of parameters that can be altered for this learner.

Specified by:

getParameters in interface Parameterized

Returns:

the list of parameters that can be altered for this learner.

getParameter

public Parameter getParameter(String paramName)

Description copied from interface: Parameterized

Returns the parameter with the given name. Two different strings may map to a single Parameter object. An ASCII only string, and a Unicode style string.

Specified by:

getParameter in interface Parameterized

Parameters:

paramName - the name of the parameter to obtain

Returns:

the Parameter in question, or null if no such named Parameter exists.