Class AveragingCombiner

java.lang.Object

org.tribuo.regression.ensemble.AveragingCombiner

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.config.Configurable, com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>, Serializable, EnsembleCombiner<Regressor>

public class AveragingCombiner
extends Object
implements EnsembleCombiner<Regressor>

A combiner which performs a weighted or unweighted average of the predicted regressors independently across the output dimensions.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
AveragingCombiner()

Method Summary

Modifier and Type	Method	Description
Prediction<Regressor>	combine(ImmutableOutputInfo<Regressor> outputInfo, List<Prediction<Regressor>> predictions)	Combine the predictions.
Prediction<Regressor>	combine(ImmutableOutputInfo<Regressor> outputInfo, List<Prediction<Regressor>> predictions, float[] weights)	Combine the supplied predictions.
com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance	getProvenance()
String	toString()

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.oracle.labs.mlrg.olcut.config.Configurable

postConfig

Constructor Details

AveragingCombiner

public AveragingCombiner()

Method Details

combine

public Prediction<Regressor> combine(ImmutableOutputInfo<Regressor> outputInfo,
 List<Prediction<Regressor>> predictions)

Description copied from interface: EnsembleCombiner

Combine the predictions.

Specified by:

combine in interface EnsembleCombiner<Regressor>

Parameters:

outputInfo - The output domain.

predictions - The predictions to combine.

Returns:

The ensemble prediction.

combine

public Prediction<Regressor> combine(ImmutableOutputInfo<Regressor> outputInfo,
 List<Prediction<Regressor>> predictions,
 float[] weights)

Description copied from interface: EnsembleCombiner

Combine the supplied predictions. predictions.size() must equal weights.length.

Specified by:

combine in interface EnsembleCombiner<Regressor>

Parameters:

outputInfo - The output domain.

predictions - The predictions to combine.

weights - The weights to use for each prediction.

Returns:

The ensemble prediction.

toString

public String toString()

Overrides:

toString in class Object

getProvenance

public com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance getProvenance()

Specified by:

getProvenance in interface com.oracle.labs.mlrg.olcut.provenance.Provenancable<com.oracle.labs.mlrg.olcut.provenance.ConfiguredObjectProvenance>