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

Packages that use AbstractDiscriminantBinaryCategorizer

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 AbstractDiscriminantBinaryCategorizer in gov.sandia.cognition.learning.algorithm.ensemble

Subclasses of AbstractDiscriminantBinaryCategorizer in gov.sandia.cognition.learning.algorithm.ensemble

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.

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

Subclasses of AbstractDiscriminantBinaryCategorizer in gov.sandia.cognition.learning.algorithm.perceptron

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

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

Subclasses of AbstractDiscriminantBinaryCategorizer 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.

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

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

Modifier and Type	Class and Description
class	AbstractConfidenceWeightedBinaryCategorizer Unit tests for class AbstractConfidenceWeightedBinaryCategorizer.
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.