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

Packages that use LinearMultiCategorizer

Package	Description
gov.sandia.cognition.learning.algorithm.perceptron	Provides the Perceptron algorithm and some of its variations.
gov.sandia.cognition.learning.function.categorization	Provides functions that output a discrete set of categories.

Uses of LinearMultiCategorizer in gov.sandia.cognition.learning.algorithm.perceptron

Fields in gov.sandia.cognition.learning.algorithm.perceptron declared as LinearMultiCategorizer

Modifier and Type	Field and Description
protected LinearMultiCategorizer<CategoryType>	BatchMultiPerceptron.result The linear categorizer created by the algorithm.

Methods in gov.sandia.cognition.learning.algorithm.perceptron that return LinearMultiCategorizer

Modifier and Type	Method and Description
LinearMultiCategorizer<CategoryType>	OnlineMultiPerceptron.createInitialLearnedObject()
LinearMultiCategorizer<CategoryType>	BatchMultiPerceptron.getResult()

Methods in gov.sandia.cognition.learning.algorithm.perceptron with parameters of type LinearMultiCategorizer

Modifier and Type	Method and Description
protected void	BatchMultiPerceptron.setResult(LinearMultiCategorizer<CategoryType> result) Sets the result of the algorithm.
void	OnlineMultiPerceptron.update(LinearMultiCategorizer<CategoryType> target, InputOutputPair<? extends Vectorizable,CategoryType> example)
void	OnlineMultiPerceptron.UniformUpdate.update(LinearMultiCategorizer<CategoryType> target, InputOutputPair<? extends Vectorizable,CategoryType> example)
void	OnlineMultiPerceptron.ProportionalUpdate.update(LinearMultiCategorizer<CategoryType> target, InputOutputPair<? extends Vectorizable,CategoryType> example)

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

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

Modifier and Type	Method and Description
LinearMultiCategorizer<CategoryType>	LinearMultiCategorizer.clone()