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
EnsembleCombiner
implementations
for working with multi-output regression problems.-
Uses of EnsembleCombiner in org.tribuo.classification.ensemble
Classes in org.tribuo.classification.ensemble that implement EnsembleCombinerModifier and TypeClassDescriptionfinal class
A combiner which performs a weighted or unweighted vote across the predicted labels.final class
A combiner which performs a weighted or unweighted vote across the predicted labels. -
Uses of EnsembleCombiner in org.tribuo.common.nearest
Constructors in org.tribuo.common.nearest with parameters of type EnsembleCombinerModifierConstructorDescriptionKNNTrainer
(int k, KNNTrainer.Distance distance, int numThreads, EnsembleCombiner<T> combiner, KNNModel.Backend backend) Creates a K-NN trainer using the supplied parameters. -
Uses of EnsembleCombiner in org.tribuo.common.tree
Constructors in org.tribuo.common.tree with parameters of type EnsembleCombinerModifierConstructorDescriptionRandomForestTrainer
(DecisionTreeTrainer<T> trainer, EnsembleCombiner<T> combiner, int numMembers) Constructs a RandomForestTrainer with the default seedTrainer.DEFAULT_SEED
.RandomForestTrainer
(DecisionTreeTrainer<T> trainer, EnsembleCombiner<T> combiner, int numMembers, long seed) Constructs a RandomForestTrainer with the supplied seed, trainer, combining function and number of members. -
Uses of EnsembleCombiner in org.tribuo.ensemble
Fields in org.tribuo.ensemble declared as EnsembleCombinerModifier and TypeFieldDescriptionprotected EnsembleCombiner
<T> BaggingTrainer.combiner
protected final EnsembleCombiner
<T> WeightedEnsembleModel.combiner
Constructors in org.tribuo.ensemble with parameters of type EnsembleCombinerModifierConstructorDescriptionBaggingTrainer
(Trainer<T> trainer, EnsembleCombiner<T> combiner, int numMembers) BaggingTrainer
(Trainer<T> trainer, EnsembleCombiner<T> combiner, int numMembers, long seed) WeightedEnsembleModel
(String name, EnsembleModelProvenance description, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, List<Model<T>> newModels, EnsembleCombiner<T> combiner) WeightedEnsembleModel
(String name, EnsembleModelProvenance description, ImmutableFeatureMap featureIDMap, ImmutableOutputInfo<T> outputIDInfo, List<Model<T>> newModels, EnsembleCombiner<T> combiner, float[] weights) -
Uses of EnsembleCombiner in org.tribuo.regression.ensemble
Classes in org.tribuo.regression.ensemble that implement EnsembleCombinerModifier and TypeClassDescriptionclass
A combiner which performs a weighted or unweighted average of the predicted regressors independently across the output dimensions.