Uses of Interface
org.tribuo.ensemble.EnsembleCombiner

Packages that use EnsembleCombiner
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.