Package | Description |
---|---|
org.tribuo.classification.ensemble |
Provides majority vote ensemble combiners for classification
along with an implementation of multiclass Adaboost.
|
org.tribuo.common.nearest |
Provides a K-Nearest Neighbours implementation which works across
all Tribuo
Output types. |
org.tribuo.common.tree |
Provides common functionality for building decision trees, irrespective
of the predicted
Output . |
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.
|
org.tribuo.regression.ensemble |
Provides
EnsembleCombiner implementations
for working with multi-output regression problems. |
Class and Description |
---|
EnsembleCombiner
An interface for combining predictions.
|
Class and Description |
---|
EnsembleCombiner
An interface for combining predictions.
|
Class and Description |
---|
BaggingTrainer
A Trainer that wraps another trainer and produces a bagged ensemble.
|
EnsembleCombiner
An interface for combining predictions.
|
Class and Description |
---|
EnsembleCombiner
An interface for combining predictions.
|
EnsembleModel
A model which contains a list of other
Model s. |
WeightedEnsembleModel
An ensemble model that uses weights to combine the ensemble member predictions.
|
Class and Description |
---|
EnsembleCombiner
An interface for combining predictions.
|
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