Package com.datumbox.framework.core.machinelearning.ensemblelearning

Class Summary

Class	Description
Adaboost	Implementation of Adaboost algorithm.
Adaboost.ModelParameters	Base class for every ModelParameter class in the framework.
Adaboost.TrainingParameters	The AbstractTrainingParameters class stores the parameters that can be changed before training the algorithm.
BayesianEnsembleMethod	Implementation of Bayesian Ensemble Method.
BayesianEnsembleMethod.ModelParameters	Base class for every ModelParameter class in the framework.
BayesianEnsembleMethod.TrainingParameters	The AbstractTrainingParameters class stores the parameters that can be changed before training the algorithm.
BootstrapAggregating	Implementation of Bagging algorithm.
BootstrapAggregating.ModelParameters	Base class for every ModelParameter class in the framework.
BootstrapAggregating.TrainingParameters	The AbstractTrainingParameters class stores the parameters that can be changed before training the algorithm.
FixedCombinationRules	Implementation of various Fixed combination rules which can be used in order to combine the responses of multiple classifiers.