Class FullyWeightedVotingCombiner

java.lang.Object

org.tribuo.classification.ensemble.FullyWeightedVotingCombiner

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<Label>

public final class FullyWeightedVotingCombiner
extends Object
implements EnsembleCombiner<Label>

A combiner which performs a weighted or unweighted vote across the predicted labels.

This uses the full distribution of predictions from each ensemble member, unlike VotingCombiner which uses the most likely prediction for each ensemble member.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
FullyWeightedVotingCombiner()	Constructs a weighted voting combiner.

Method Summary

Modifier and Type	Method	Description
Prediction<Label>	combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions)	Combine the predictions.
Prediction<Label>	combine(ImmutableOutputInfo<Label> outputInfo, List<Prediction<Label>> predictions, float[] weights)	Combine the supplied predictions.
ONNXNode	exportCombiner(ONNXNode input)	Exports this voting combiner to ONNX.
<T extends ONNXRef<?>> ONNXNode	exportCombiner(ONNXNode input, T weight)	Exports this voting combiner to ONNX.
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

FullyWeightedVotingCombiner

public FullyWeightedVotingCombiner()

Constructs a weighted voting combiner.

Method Details

combine

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

Description copied from interface: EnsembleCombiner

Combine the predictions.

Specified by:

combine in interface EnsembleCombiner<Label>

Parameters:

outputInfo - The output domain.

predictions - The predictions to combine.

Returns:

The ensemble prediction.

combine

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

Description copied from interface: EnsembleCombiner

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

Specified by:

combine in interface EnsembleCombiner<Label>

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>

exportCombiner

public ONNXNode exportCombiner(ONNXNode input)

Exports this voting combiner to ONNX.

The input should be a 3-tensor [batch_size, num_outputs, num_ensemble_members].

Specified by:

exportCombiner in interface EnsembleCombiner<Label>

Parameters:

input - the node to be ensembled according to this implementation.

Returns:

The leaf node of the voting operation.

exportCombiner

public <T extends ONNXRef<?>> ONNXNode exportCombiner(ONNXNode input,
 T weight)

Exports this voting combiner to ONNX.

The input should be a 3-tensor [batch_size, num_outputs, num_ensemble_members].

Specified by:

exportCombiner in interface EnsembleCombiner<Label>

Type Parameters:

T - The type of the weights input reference.

Parameters:

input - the node to be ensembled according to this implementation.

weight - The node of weights for ensembling.

Returns:

The leaf node of the voting operation.