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

Packages that use DefaultWeightedValueDiscriminant
gov.sandia.cognition.learning.algorithm.bayes Provides algorithms for computing Bayesian categorizers. 
gov.sandia.cognition.learning.algorithm.ensemble Provides ensmble 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
 DefaultWeightedValueDiscriminant<CategoryType> DiscreteNaiveBayesCategorizer.evaluateWithDiscriminant(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
 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
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
 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.