Uses of Interface
gov.sandia.cognition.learning.algorithm.tree.VectorThresholdLearner

Packages that use VectorThresholdLearner

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

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

Classes in gov.sandia.cognition.learning.algorithm.tree that implement VectorThresholdLearner

Modifier and Type	Class and Description
class	AbstractVectorThresholdMaximumGainLearner<OutputType> An abstract class for decider learners that produce a threshold function on a vector element based on maximizing some gain value.
class	RandomSubVectorThresholdLearner<OutputType> Learns a decision function by taking a randomly sampling a subspace from a given set of input vectors and then learning a threshold function by passing the subspace vectors to a sublearner.
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.
class	VectorThresholdVarianceLearner The VectorThresholdVarianceLearner computes the best threshold over a dataset of vectors using the reduction in variance to determine the optimal index and threshold.