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

Packages that use KernelBinaryCategorizer

Package	Description
gov.sandia.cognition.learning.algorithm.perceptron.kernel
gov.sandia.cognition.learning.algorithm.svm	Provides implementations of Support Vector Machine (SVM) learning algorithms.
gov.sandia.cognition.learning.function.categorization	Provides functions that output a discrete set of categories.

Uses of KernelBinaryCategorizer in gov.sandia.cognition.learning.algorithm.perceptron.kernel

Subclasses of KernelBinaryCategorizer in gov.sandia.cognition.learning.algorithm.perceptron.kernel

Modifier and Type	Class and Description
static class	Forgetron.Result<InputType> The result object learned by the Forgetron, which extends the DefaultKernelBinaryCategorizer with some additional state information needed in the update step.

Methods in gov.sandia.cognition.learning.algorithm.perceptron.kernel that return KernelBinaryCategorizer

Modifier and Type	Method and Description
KernelBinaryCategorizer<InputType,DefaultWeightedValue<InputType>>	KernelAdatron.getResult()

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

Modifier and Type	Method and Description
protected void	KernelAdatron.setLearned(KernelBinaryCategorizer<InputType,DefaultWeightedValue<InputType>> result) Sets the object currently being result.

Uses of KernelBinaryCategorizer in gov.sandia.cognition.learning.algorithm.svm

Fields in gov.sandia.cognition.learning.algorithm.svm declared as KernelBinaryCategorizer

Modifier and Type	Field and Description
protected KernelBinaryCategorizer<InputType,DefaultWeightedValue<InputType>>	SuccessiveOverrelaxation.result The result categorizer.

Methods in gov.sandia.cognition.learning.algorithm.svm that return KernelBinaryCategorizer

Modifier and Type	Method and Description
KernelBinaryCategorizer<InputType,DefaultWeightedValue<InputType>>	SequentialMinimalOptimization.getResult()
KernelBinaryCategorizer<InputType,DefaultWeightedValue<InputType>>	SuccessiveOverrelaxation.getResult()

Methods in gov.sandia.cognition.learning.algorithm.svm with parameters of type KernelBinaryCategorizer

Modifier and Type	Method and Description
protected void	SuccessiveOverrelaxation.setResult(KernelBinaryCategorizer<InputType,DefaultWeightedValue<InputType>> result) Sets the object currently being result.

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

Subclasses of KernelBinaryCategorizer in gov.sandia.cognition.learning.function.categorization

Modifier and Type	Class and Description
class	DefaultKernelBinaryCategorizer<InputType> A default implementation of the KernelBinaryCategorizer that uses the standard way of representing the examples (supports) using a DefaultWeightedValue.

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

Constructor and Description
KernelBinaryCategorizer(KernelBinaryCategorizer<InputType,? extends EntryType> other) Creates a new copy of a KernelBinaryCategorizer.