Uses of Class
gov.sandia.cognition.learning.algorithm.tree.AbstractVectorThresholdMaximumGainLearner

Packages that use AbstractVectorThresholdMaximumGainLearner

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

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

Subclasses of AbstractVectorThresholdMaximumGainLearner in gov.sandia.cognition.learning.algorithm.tree

Modifier and Type	Class and Description
class	VectorThresholdGiniImpurityLearner<OutputType> Learns vector thresholds based on the Gini impurity measure.
class	VectorThresholdHellingerDistanceLearner<OutputType> A categorization tree decision function learner on vector data that learns a vector value threshold function using the Hellinger distance.
class	VectorThresholdInformationGainLearner<OutputType> The VectorThresholdInformationGainLearner computes the best threshold over a dataset of vectors using information gain to determine the optimal index and threshold.

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

Modifier and Type	Method and Description
AbstractVectorThresholdMaximumGainLearner<OutputType>	AbstractVectorThresholdMaximumGainLearner.clone()