Uses of Class
gov.sandia.cognition.learning.algorithm.ensemble.BaggingCategorizerLearner

Packages that use BaggingCategorizerLearner

Package	Description
gov.sandia.cognition.learning.algorithm.ensemble	Provides ensemble methods.
gov.sandia.cognition.learning.algorithm.tree	Provides decision tree learning algorithms.

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

Subclasses of BaggingCategorizerLearner in gov.sandia.cognition.learning.algorithm.ensemble

Modifier and Type	Class and Description
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.

Uses of BaggingCategorizerLearner in gov.sandia.cognition.learning.algorithm.tree

Methods in gov.sandia.cognition.learning.algorithm.tree that return BaggingCategorizerLearner

Modifier and Type	Method and Description
static <CategoryType> BaggingCategorizerLearner<Vector,CategoryType>	RandomForestFactory.createCategorizationLearner(int ensembleSize, double baggingFraction, double dimensionsFraction, int maxTreeDepth, int minLeafSize, java.util.Random random) Creates a random forest learner for categorization outputs.