Uses of Interface
gov.sandia.cognition.learning.function.categorization.BinaryCategorizer

Packages that use BinaryCategorizer

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

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

Classes in gov.sandia.cognition.learning.algorithm.ensemble that implement BinaryCategorizer

Modifier and Type	Class and Description
class	WeightedBinaryEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends java.lang.Boolean>> The WeightedBinaryEnsemble class implements an Ensemble of BinaryCategorizer objects where each categorizer is assigned a weight and the category is selected by choosing the one with the largest sum of weights.

Fields in gov.sandia.cognition.learning.algorithm.ensemble with type parameters of type BinaryCategorizer

Modifier and Type	Field and Description
protected java.util.Collection<BinaryCategorizer<? super InputType>>	BinaryCategorizerSelector.categorizers The collection of categorizers to evaluate and select from.

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

Modifier and Type	Method and Description
BinaryCategorizer<? super InputType>	BinaryCategorizerSelector.learn(java.util.Collection<? extends InputOutputPair<? extends InputType,java.lang.Boolean>> data) Selects the BinaryCategorizer from its list of categorizers that minimizes the weighted error on the given set of weighted input-output pairs.

Methods in gov.sandia.cognition.learning.algorithm.ensemble that return types with arguments of type BinaryCategorizer

Modifier and Type	Method and Description
java.util.Collection<BinaryCategorizer<? super InputType>>	BinaryCategorizerSelector.getCategorizers() Gets the collection of categorizers that the learner selects from.

Method parameters in gov.sandia.cognition.learning.algorithm.ensemble with type arguments of type BinaryCategorizer

Modifier and Type	Method and Description
void	BinaryCategorizerSelector.setCategorizers(java.util.Collection<BinaryCategorizer<? super InputType>> categorizers) Gets the collection of categorizers that the learner selects from.

Constructor parameters in gov.sandia.cognition.learning.algorithm.ensemble with type arguments of type BinaryCategorizer

Constructor and Description
BinaryCategorizerSelector(java.util.Collection<BinaryCategorizer<? super InputType>> categorizers) Creates a new instance of BinaryCategorizerSelector.

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

Classes in gov.sandia.cognition.learning.algorithm.perceptron that implement BinaryCategorizer

Modifier and Type	Class and Description
static class	OnlineShiftingPerceptron.LinearResult This is the result learned by the shifting perceptron.

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

Classes in gov.sandia.cognition.learning.algorithm.perceptron.kernel that implement BinaryCategorizer

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.

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

Subinterfaces of BinaryCategorizer in gov.sandia.cognition.learning.function.categorization

Modifier and Type	Interface and Description
interface	ConfidenceWeightedBinaryCategorizer Interface for a confidence-weighted binary categorizer, which defines a distribution over linear binary categorizers.
interface	DiscriminantBinaryCategorizer<InputType> Interface for a linear discriminant categorizer in the binary categorization domain.
interface	ThresholdBinaryCategorizer<InputType> Interface for a binary categorizer that uses a threshold to determine the categorization.

Classes in gov.sandia.cognition.learning.function.categorization that implement BinaryCategorizer

Modifier and Type	Class and Description
class	AbstractBinaryCategorizer<InputType> The AbstractBinaryCategorizer implements the commonality of the BinaryCategorizer, holding the collection of possible values.
class	AbstractConfidenceWeightedBinaryCategorizer Unit tests for class AbstractConfidenceWeightedBinaryCategorizer.
class	AbstractDiscriminantBinaryCategorizer<InputType> An abstract implementation of the DiscriminantBinaryCategorizer interface.
class	AbstractThresholdBinaryCategorizer<InputType> Categorizer that first maps the input space onto a real value, then uses a threshold to map the result onto lowValue (for strictly less than the threshold) or highValue (for greater than or equal to the threshold).
class	DefaultConfidenceWeightedBinaryCategorizer A default implementation of the ConfidenceWeightedBinaryCategorizer that stores a full mean and covariance matrix.
class	DefaultKernelBinaryCategorizer<InputType> A default implementation of the KernelBinaryCategorizer that uses the standard way of representing the examples (supports) using a DefaultWeightedValue.
class	DiagonalConfidenceWeightedBinaryCategorizer A confidence-weighted linear predictor with a diagonal covariance, which is stored as a vector.
class	FisherLinearDiscriminantBinaryCategorizer A Fisher Linear Discriminant classifier, which creates an optimal linear separating plane between two Gaussian classes of different covariances.
class	KernelBinaryCategorizer<InputType,EntryType extends WeightedValue<? extends InputType>> The KernelBinaryCategorizer class implements a binary categorizer that uses a kernel to do its categorization.
class	LinearBinaryCategorizer The LinearBinaryCategorizer class implements a binary categorizer that is implemented by a linear function.
class	ScalarFunctionToBinaryCategorizerAdapter<InputType> Adapts a scalar function to be a categorizer using a threshold.
class	ScalarThresholdBinaryCategorizer The ScalarThresholdBinaryCategorizer class implements a binary categorizer that uses a threshold to categorize a given double.
class	VectorElementThresholdCategorizer The VectorElementThresholdCategorizer class implements a BinaryCategorizer that categorizes an input vector by applying a threshold to an element in a the vector.