Uses of Class
gov.sandia.cognition.learning.function.categorization.VectorElementThresholdCategorizer

Packages that use VectorElementThresholdCategorizer

Package	Description
gov.sandia.cognition.learning.algorithm.tree	Provides decision tree learning algorithms.
gov.sandia.cognition.learning.function.categorization	Provides functions that output a discrete set of categories.

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

Fields in gov.sandia.cognition.learning.algorithm.tree with type parameters of type VectorElementThresholdCategorizer

Modifier and Type	Field and Description
protected DeciderLearner<Vectorizable,OutputType,java.lang.Boolean,VectorElementThresholdCategorizer>	RandomSubVectorThresholdLearner.subLearner The decider learner for the subspace.

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

Modifier and Type	Method and Description
VectorElementThresholdCategorizer	VectorThresholdVarianceLearner.learn(java.util.Collection<? extends InputOutputPair<? extends Vectorizable,java.lang.Double>> data) Learns a VectorElementThresholdCategorizer from the given data by picking the vector element and threshold that best maximizes information gain.
VectorElementThresholdCategorizer	AbstractVectorThresholdMaximumGainLearner.learn(java.util.Collection<? extends InputOutputPair<? extends Vectorizable,OutputType>> data)
VectorElementThresholdCategorizer	RandomSubVectorThresholdLearner.learn(java.util.Collection<? extends InputOutputPair<? extends Vectorizable,OutputType>> data)

Methods in gov.sandia.cognition.learning.algorithm.tree that return types with arguments of type VectorElementThresholdCategorizer

Modifier and Type	Method and Description
DeciderLearner<Vectorizable,OutputType,java.lang.Boolean,VectorElementThresholdCategorizer>	RandomSubVectorThresholdLearner.getSubLearner() Gets the learner used to learn a threshold function over the subspace.

Method parameters in gov.sandia.cognition.learning.algorithm.tree with type arguments of type VectorElementThresholdCategorizer

Modifier and Type	Method and Description
void	RandomSubVectorThresholdLearner.setSubLearner(DeciderLearner<Vectorizable,OutputType,java.lang.Boolean,VectorElementThresholdCategorizer> subLearner) Sets the learner used to learn a threshold function over the subspace.

Constructor parameters in gov.sandia.cognition.learning.algorithm.tree with type arguments of type VectorElementThresholdCategorizer

Constructor and Description
RandomSubVectorThresholdLearner(DeciderLearner<Vectorizable,OutputType,java.lang.Boolean,VectorElementThresholdCategorizer> subLearner, double percentToSample, int[] dimensionsToConsider, java.util.Random random, VectorFactory<? extends Vector> vectorFactory) Creates a new RandomSubVectorThresholdLearner.
RandomSubVectorThresholdLearner(DeciderLearner<Vectorizable,OutputType,java.lang.Boolean,VectorElementThresholdCategorizer> subLearner, double percentToSample, java.util.Random random) Creates a new RandomSubVectorThresholdLearner.
RandomSubVectorThresholdLearner(DeciderLearner<Vectorizable,OutputType,java.lang.Boolean,VectorElementThresholdCategorizer> subLearner, double percentToSample, java.util.Random random, VectorFactory<? extends Vector> vectorFactory) Creates a new RandomSubVectorThresholdLearner.

Uses of VectorElementThresholdCategorizer in gov.sandia.cognition.learning.function.categorization

Methods in gov.sandia.cognition.learning.function.categorization that return VectorElementThresholdCategorizer

Modifier and Type	Method and Description
VectorElementThresholdCategorizer	VectorElementThresholdCategorizer.clone()

Constructors in gov.sandia.cognition.learning.function.categorization with parameters of type VectorElementThresholdCategorizer

Constructor and Description
VectorElementThresholdCategorizer(VectorElementThresholdCategorizer other) Creates a new instance of VectorElementThresholdCategorizer.