Uses of Class
org.tribuo.ensemble.WeightedEnsembleModel
Packages that use WeightedEnsembleModel
Package
Description
Provides majority vote ensemble combiners for classification
along with an implementation of multiclass Adaboost.
Provides an interface for model prediction combinations,
two base classes for ensemble models, a base class for
ensemble excuses, and a Bagging implementation.
Provides a multi-label ensemble combiner that performs a (possibly
weighted) majority vote among each label independently, along with an
implementation of classifier chain ensembles.
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Uses of WeightedEnsembleModel in org.tribuo.classification.ensemble
Methods in org.tribuo.classification.ensemble that return WeightedEnsembleModelModifier and TypeMethodDescriptionIf the trainer implementsWeightedExamples
then do boosting by weighting, otherwise do boosting by sampling.AdaBoostTrainer.train
(Dataset<Label> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance) If the trainer implementsWeightedExamples
then do boosting by weighting, otherwise do boosting by sampling.AdaBoostTrainer.train
(Dataset<Label> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance, int invocationCount) -
Uses of WeightedEnsembleModel in org.tribuo.ensemble
Methods in org.tribuo.ensemble that return WeightedEnsembleModelModifier and TypeMethodDescriptionstatic <T extends Output<T>>
WeightedEnsembleModel<T> WeightedEnsembleModel.createEnsembleFromExistingModels
(String name, List<Model<T>> models, EnsembleCombiner<T> combiner) Creates an ensemble from existing models.static <T extends Output<T>>
WeightedEnsembleModel<T> WeightedEnsembleModel.createEnsembleFromExistingModels
(String name, List<Model<T>> models, EnsembleCombiner<T> combiner, float[] weights) Creates an ensemble from existing models.static WeightedEnsembleModel
<?> WeightedEnsembleModel.deserializeFromProto
(int version, String className, com.google.protobuf.Any message) Deserialization factory. -
Uses of WeightedEnsembleModel in org.tribuo.multilabel.ensemble
Methods in org.tribuo.multilabel.ensemble that return WeightedEnsembleModelModifier and TypeMethodDescriptionCCEnsembleTrainer.train
(Dataset<MultiLabel> examples) CCEnsembleTrainer.train
(Dataset<MultiLabel> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance) CCEnsembleTrainer.train
(Dataset<MultiLabel> examples, Map<String, com.oracle.labs.mlrg.olcut.provenance.Provenance> runProvenance, int invocationCount)