Uses of Class
gov.sandia.cognition.learning.data.DefaultWeightedValueDiscriminant

Packages that use DefaultWeightedValueDiscriminant

Package	Description
gov.sandia.cognition.learning.algorithm.bayes	Provides algorithms for computing Bayesian categorizers.
gov.sandia.cognition.learning.algorithm.ensemble	Provides ensemble methods.
gov.sandia.cognition.learning.data	Provides data set utilities for learning.
gov.sandia.cognition.learning.function.categorization	Provides functions that output a discrete set of categories.

Uses of DefaultWeightedValueDiscriminant in gov.sandia.cognition.learning.algorithm.bayes

Methods in gov.sandia.cognition.learning.algorithm.bayes that return DefaultWeightedValueDiscriminant

Modifier and Type	Method and Description
DefaultWeightedValueDiscriminant<CategoryType>	DiscreteNaiveBayesCategorizer.evaluateWithDiscriminant(java.util.Collection<InputType> input)
DefaultWeightedValueDiscriminant<CategoryType>	VectorNaiveBayesCategorizer.evaluateWithDiscriminant(Vectorizable input)

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

Methods in gov.sandia.cognition.learning.algorithm.ensemble that return DefaultWeightedValueDiscriminant

Modifier and Type	Method and Description
DefaultWeightedValueDiscriminant<CategoryType>	VotingCategorizerEnsemble.evaluateWithDiscriminant(InputType input)
DefaultWeightedValueDiscriminant<CategoryType>	WeightedVotingCategorizerEnsemble.evaluateWithDiscriminant(InputType input) Evaluates the ensemble on the given input and returns the category that has the most weighted votes as a pair containing the category and the percent of the weighted votes that it obtained.

Uses of DefaultWeightedValueDiscriminant in gov.sandia.cognition.learning.data

Methods in gov.sandia.cognition.learning.data that return DefaultWeightedValueDiscriminant

Modifier and Type	Method and Description
static <ValueType> DefaultWeightedValueDiscriminant<ValueType>	DefaultWeightedValueDiscriminant.create(ValueType value, double weight) Convenience method for creating a new DefaultWeightedValueDiscriminant with the given value and weight.
static <ValueType> DefaultWeightedValueDiscriminant<ValueType>	DefaultWeightedValueDiscriminant.create(WeightedValue<? extends ValueType> other) Convenience method for creating a new DefaultWeightedValueDiscriminant with a shallow copy of the given the given value and weight.

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

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

Modifier and Type	Method and Description
DefaultWeightedValueDiscriminant<CategoryType>	BinaryVersusCategorizer.evaluateWithDiscriminant(InputType input)
DefaultWeightedValueDiscriminant<CategoryType>	WinnerTakeAllCategorizer.evaluateWithDiscriminant(InputType input) Evaluates the categorizer and returns the category along with a weight.
DefaultWeightedValueDiscriminant<CategoryType>	MaximumAPosterioriCategorizer.evaluateWithDiscriminant(ObservationType input)
DefaultWeightedValueDiscriminant<CategoryType>	LinearMultiCategorizer.evaluateWithDiscriminant(Vectorizable input)
DefaultWeightedValueDiscriminant<CategoryType>	WinnerTakeAllCategorizer.findBestCategory(Vector output) Finds the best category (and its output value) from the given vector of outputs from a vector evaluator.