Class EnsembleModel<T extends Output<T>>

java.lang.Object

org.tribuo.Model<T>

org.tribuo.ensemble.EnsembleModel<T>

All Implemented Interfaces:

com.oracle.labs.mlrg.olcut.provenance.Provenancable<ModelProvenance>, Serializable

Direct Known Subclasses:

WeightedEnsembleModel

public abstract class EnsembleModel<T extends Output<T>>
extends Model<T>

A model which contains a list of other Models.

See Also:

• Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected final List<Model<T>>	models

Fields inherited from class org.tribuo.Model

ALL_OUTPUTS, BIAS_FEATURE, featureIDMap, generatesProbabilities, name, outputIDInfo, provenance, provenanceOutput

Constructor Summary

Constructors

Constructor	Description
EnsembleModel(String name, EnsembleModelProvenance description, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, List<Model<T>> newModels)

Method Summary

Modifier and Type	Method	Description
protected abstract EnsembleModel<T>	copy(String name, EnsembleModelProvenance newProvenance, List<Model<T>> newModels)
protected Model<T>	copy(String name, ModelProvenance newProvenance)	Copies a model, replacing it's provenance and name with the supplied values.
abstract Optional<Excuse<T>>	getExcuse(Example<T> example)	Generates an excuse for an example.
List<Model<T>>	getModels()	Returns an unmodifiable view on the ensemble members.
int	getNumModels()	The number of ensemble members.
EnsembleModelProvenance	getProvenance()
Map<String, List<com.oracle.labs.mlrg.olcut.util.Pair<String,Double>>>	getTopFeatures(int n)	Gets the top n features associated with this model.

Methods inherited from class org.tribuo.Model

copy, generatesProbabilities, getExcuses, getFeatureIDMap, getName, getOutputIDInfo, innerPredict, predict, predict, predict, setName, toString, validate

Methods inherited from class java.lang.Object

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

Field Details

models

protected final List<Model<T extends Output<T>>> models

Constructor Details

EnsembleModel

public EnsembleModel(String name,
 EnsembleModelProvenance description,
 ImmutableFeatureMap featureIDMap,
 ImmutableOutputInfo<T> outputIDInfo,
 List<Model<T>> newModels)

Method Details

getModels

public List<Model<T>> getModels()

Returns an unmodifiable view on the ensemble members.

Returns:

The ensemble members.

getNumModels

public int getNumModels()

The number of ensemble members.

Returns:

The ensemble size.

getExcuse

public abstract Optional<Excuse<T>> getExcuse(Example<T> example)

Description copied from class: Model

Generates an excuse for an example.

This attempts to explain a classification result. Generating an excuse may be quite an expensive operation.

This excuse either contains per class information or an entry with key Model.ALL_OUTPUTS.

The optional is empty if the model does not provide excuses.

Specified by:

getExcuse in class Model<T extends Output<T>>

Parameters:

example - The input example.

Returns:

An optional excuse object. The optional is empty if this model does not provide excuses.

getProvenance

public EnsembleModelProvenance getProvenance()

Specified by:

getProvenance in interface com.oracle.labs.mlrg.olcut.provenance.Provenancable<T extends Output<T>>

Overrides:

getProvenance in class Model<T extends Output<T>>

copy

protected Model<T> copy(String name,
 ModelProvenance newProvenance)

Description copied from class: Model

Copies a model, replacing it's provenance and name with the supplied values.

Used to provide the provenance removal functionality.

Specified by:

copy in class Model<T extends Output<T>>

Parameters:

name - The new name.

newProvenance - The new provenance.

Returns:

A copy of the model.

copy

protected abstract EnsembleModel<T> copy(String name,
 EnsembleModelProvenance newProvenance,
 List<Model<T>> newModels)

getTopFeatures

public Map<String, List<com.oracle.labs.mlrg.olcut.util.Pair<String,Double>>> getTopFeatures(int n)

Description copied from class: Model

Gets the top n features associated with this model.

If the model does not produce per output feature lists, it returns a map with a single element with key Model.ALL_OUTPUTS.

If the model cannot describe it's top features then it returns Collections.emptyMap().

Specified by:

getTopFeatures in class Model<T extends Output<T>>

Parameters:

n - the number of features to return. If this value is less than 0, all features should be returned for each class, unless the model cannot score it's features.

Returns:

a map from string outputs to an ordered list of pairs of feature names and weights associated with that feature in the model