jsat.regression

Class AveragedRegressor

java.lang.Object

jsat.regression.AveragedRegressor

All Implemented Interfaces:

Serializable, Cloneable, Regressor

public class AveragedRegressor
extends Object
implements Regressor

Creates a regressor that averages the results of several voting regression methods. Null values are not supported, and will cause errors at a later time. The averaged regressor can be trained, and will train each of its voting regressors. If each regressor is of the same type, training may not be advisable.

Author:

Edward Raff

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected Regressor[]	voters The array of voting regressors

Constructor Summary

Constructors

Constructor and Description
AveragedRegressor(List<Regressor> voters) Constructs a new averaged regressor using the given list of voters.
AveragedRegressor(Regressor... voters) Constructs a new averaged regressor using the given array of voters

Method Summary

Modifier and Type	Method and Description
AveragedRegressor	clone()
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

Field Detail

voters

protected Regressor[] voters

The array of voting regressors

Constructor Detail

AveragedRegressor

public AveragedRegressor(Regressor... voters)

Constructs a new averaged regressor using the given array of voters

Parameters:

voters - the array of voters to use

AveragedRegressor

public AveragedRegressor(List<Regressor> voters)

Constructs a new averaged regressor using the given list of voters. The list of voters will be copied into a new space, so the list may safely be reused.

Parameters:

voters - the array of voters to use

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 AveragedRegressor clone()

Specified by:

clone in interface Regressor

Overrides:

clone in class Object