Uses of Package
org.tribuo.ensemble
Packages that use org.tribuo.ensemble
Package
Description
Provides majority vote ensemble combiners for classification
along with an implementation of multiclass Adaboost.
Provides a K-Nearest Neighbours implementation which works across
all Tribuo
Output types.Provides common functionality for building decision trees, irrespective
of the predicted
Output.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.
Provides
EnsembleCombiner implementations
for working with multi-output regression problems.-
Classes in org.tribuo.ensemble used by org.tribuo.classification.ensemble
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Classes in org.tribuo.ensemble used by org.tribuo.common.nearest
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Classes in org.tribuo.ensemble used by org.tribuo.common.treeClassDescriptionA Trainer that wraps another trainer and produces a bagged ensemble.An interface for combining predictions.
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Classes in org.tribuo.ensemble used by org.tribuo.ensembleClassDescriptionAn interface for combining predictions.A model which contains a list of other
Models.An ensemble model that uses weights to combine the ensemble member predictions. -
Classes in org.tribuo.ensemble used by org.tribuo.multilabel.ensembleClassDescriptionAn interface for combining predictions.An ensemble model that uses weights to combine the ensemble member predictions.
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Classes in org.tribuo.ensemble used by org.tribuo.regression.ensemble