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

Packages that use BagBasedCategorizerEnsembleLearner

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

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

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

Modifier and Type	Class and Description
class	BaggingCategorizerLearner<InputType,CategoryType> Learns an categorization ensemble by randomly sampling with replacement (duplicates allowed) some percentage of the size of the data (defaults to 100%) on each iteration to train a new ensemble member.
class	CategoryBalancedBaggingLearner<InputType,CategoryType> An extension of the basic bagging learner that attempts to sample bags that have equal numbers of examples from every category.
class	CategoryBalancedIVotingLearner<InputType,CategoryType> An extension of IVoting for dealing with skew problems that makes sure that there are an equal number of examples from each category in each sample that an ensemble member is trained on.
class	IVotingCategorizerLearner<InputType,CategoryType> Learns an ensemble in a method similar to bagging except that on each iteration the bag is built from two parts, each sampled from elements from disjoint sets.

Fields in gov.sandia.cognition.learning.algorithm.ensemble declared as BagBasedCategorizerEnsembleLearner

Modifier and Type	Field and Description
protected BagBasedCategorizerEnsembleLearner<InputType,CategoryType>	AbstractCategorizerOutOfBagStoppingCriteria.learner The learner the stopping criteria is for.