Package | Description |
---|---|
org.tribuo.ensemble |
Provides an interface for model prediction combinations,
two base classes for ensemble models, a base class for
ensemble excuses, and a Bagging implementation.
|
Modifier and Type | Method and Description |
---|---|
EnsembleModelProvenance |
EnsembleModel.getProvenance() |
Modifier and Type | Method and Description |
---|---|
protected EnsembleModel<T> |
WeightedEnsembleModel.copy(String name,
EnsembleModelProvenance newProvenance,
List<Model<T>> newModels) |
protected abstract EnsembleModel<T> |
EnsembleModel.copy(String name,
EnsembleModelProvenance newProvenance,
List<Model<T>> newModels)
Copies this ensemble model.
|
Constructor and Description |
---|
EnsembleModel(String name,
EnsembleModelProvenance provenance,
ImmutableFeatureMap featureIDMap,
ImmutableOutputInfo<T> outputIDInfo,
List<Model<T>> newModels)
Builds an EnsembleModel from the supplied model list.
|
WeightedEnsembleModel(String name,
EnsembleModelProvenance provenance,
ImmutableFeatureMap featureIDMap,
ImmutableOutputInfo<T> outputIDInfo,
List<Model<T>> newModels,
EnsembleCombiner<T> combiner)
Unless you are implementing a
Trainer you should
not use this constructor directly. |
WeightedEnsembleModel(String name,
EnsembleModelProvenance provenance,
ImmutableFeatureMap featureIDMap,
ImmutableOutputInfo<T> outputIDInfo,
List<Model<T>> newModels,
EnsembleCombiner<T> combiner,
float[] weights)
Unless you are implementing a
Trainer you should
not use this constructor directly. |
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