Uses of Interface
gov.sandia.cognition.learning.algorithm.ensemble.Ensemble

Packages that use Ensemble

Package	Description
gov.sandia.cognition.learning.algorithm.ensemble	Provides ensemble methods.

Uses of Ensemble in gov.sandia.cognition.learning.algorithm.ensemble

Classes in gov.sandia.cognition.learning.algorithm.ensemble that implement Ensemble

Modifier and Type	Class and Description
class	AbstractUnweightedEnsemble<MemberType> An abstract implementation of the Ensemble interface for unweighted ensembles.
class	AbstractWeightedEnsemble<MemberType> An abstract implementation of the Ensemble interface for ensembles that have a weight associated with each member.
class	AdditiveEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends java.lang.Number>> An ensemble of regression functions that determine the result by adding their outputs together.
class	AveragingEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends java.lang.Number>> An ensemble for regression functions that averages together the output value of each ensemble member to get the final output.
class	VotingCategorizerEnsemble<InputType,CategoryType,MemberType extends Evaluator<? super InputType,? extends CategoryType>> An ensemble of categorizers that determine the result based on an equal-weight vote.
class	WeightedAdditiveEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends java.lang.Number>> An implementation of an ensemble that takes a weighted sum of the values returned by its members.
class	WeightedAveragingEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends java.lang.Number>> An implementation of an ensemble that takes the weighted average of its members.
class	WeightedBinaryEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends java.lang.Boolean>> The WeightedBinaryEnsemble class implements an Ensemble of BinaryCategorizer objects where each categorizer is assigned a weight and the category is selected by choosing the one with the largest sum of weights.
class	WeightedVotingCategorizerEnsemble<InputType,CategoryType,MemberType extends Evaluator<? super InputType,? extends CategoryType>> An ensemble of categorizers where each ensemble member is evaluated with the given input to find the category to which its weighted votes are assigned.