Uses of Package
gov.sandia.cognition.learning.function.categorization

Packages that use gov.sandia.cognition.learning.function.categorization

Package	Description
gov.sandia.cognition.learning.algorithm.bayes	Provides algorithms for computing Bayesian categorizers.
gov.sandia.cognition.learning.algorithm.confidence	Provides confidence-weighted categorization algorithms.
gov.sandia.cognition.learning.algorithm.delta	Provides an abstract class for helping to implement variants of the Burrows' Delta algorithm.
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.algorithm.svm	Provides implementations of Support Vector Machine (SVM) learning algorithms.
gov.sandia.cognition.learning.algorithm.tree	Provides decision tree learning algorithms.
gov.sandia.cognition.learning.function.categorization	Provides functions that output a discrete set of categories.
gov.sandia.cognition.learning.function.kernel	Provides kernel functions.
gov.sandia.cognition.statistics.method	Provides algorithms for evaluating statistical data and conducting statistical inference, particularly frequentist methods.

Classes in gov.sandia.cognition.learning.function.categorization used by gov.sandia.cognition.learning.algorithm.bayes

Class and Description
Categorizer The Categorizer interface defines the functionality of an object that can take an input and evaluate what category out of a fixed set of categories it belongs to.
DiscriminantCategorizer Interface for a Categorizer that can produce a value to discriminate between how well different instances fit a given category.

Classes in gov.sandia.cognition.learning.function.categorization used by gov.sandia.cognition.learning.algorithm.confidence

Class and Description
DefaultConfidenceWeightedBinaryCategorizer A default implementation of the ConfidenceWeightedBinaryCategorizer that stores a full mean and covariance matrix.
DiagonalConfidenceWeightedBinaryCategorizer A confidence-weighted linear predictor with a diagonal covariance, which is stored as a vector.

Classes in gov.sandia.cognition.learning.function.categorization used by gov.sandia.cognition.learning.algorithm.delta

Class and Description
Categorizer The Categorizer interface defines the functionality of an object that can take an input and evaluate what category out of a fixed set of categories it belongs to.
DiscriminantCategorizer Interface for a Categorizer that can produce a value to discriminate between how well different instances fit a given category.

Classes in gov.sandia.cognition.learning.function.categorization used by gov.sandia.cognition.learning.algorithm.ensemble

Class and Description
AbstractBinaryCategorizer The AbstractBinaryCategorizer implements the commonality of the BinaryCategorizer, holding the collection of possible values.
AbstractCategorizer An abstract implementation of the Categorizer interface.
AbstractDiscriminantBinaryCategorizer An abstract implementation of the DiscriminantBinaryCategorizer interface.
AbstractDiscriminantCategorizer An abstract implementation of the DiscriminantCategorizer interface.
BinaryCategorizer The BinaryCategorizer extends the Categorizer interface by enforcing that the output categories are boolean values, which means that the categorizer is performing binary categorization.
Categorizer The Categorizer interface defines the functionality of an object that can take an input and evaluate what category out of a fixed set of categories it belongs to.
DiscriminantBinaryCategorizer Interface for a linear discriminant categorizer in the binary categorization domain.
DiscriminantCategorizer Interface for a Categorizer that can produce a value to discriminate between how well different instances fit a given category.

Classes in gov.sandia.cognition.learning.function.categorization used by gov.sandia.cognition.learning.algorithm.perceptron

Class and Description
AbstractBinaryCategorizer The AbstractBinaryCategorizer implements the commonality of the BinaryCategorizer, holding the collection of possible values.
AbstractDiscriminantBinaryCategorizer An abstract implementation of the DiscriminantBinaryCategorizer interface.
BinaryCategorizer The BinaryCategorizer extends the Categorizer interface by enforcing that the output categories are boolean values, which means that the categorizer is performing binary categorization.
Categorizer The Categorizer interface defines the functionality of an object that can take an input and evaluate what category out of a fixed set of categories it belongs to.
DefaultKernelBinaryCategorizer A default implementation of the KernelBinaryCategorizer that uses the standard way of representing the examples (supports) using a DefaultWeightedValue.
DiscriminantBinaryCategorizer Interface for a linear discriminant categorizer in the binary categorization domain.
DiscriminantCategorizer Interface for a Categorizer that can produce a value to discriminate between how well different instances fit a given category.
LinearBinaryCategorizer The LinearBinaryCategorizer class implements a binary categorizer that is implemented by a linear function.
LinearMultiCategorizer A multi-category version of the LinearBinaryCategorizer that keeps a separate LinearBinaryCategorizer for each category.
ThresholdBinaryCategorizer Interface for a binary categorizer that uses a threshold to determine the categorization.

Classes in gov.sandia.cognition.learning.function.categorization used by gov.sandia.cognition.learning.algorithm.perceptron.kernel

Class and Description
AbstractBinaryCategorizer The AbstractBinaryCategorizer implements the commonality of the BinaryCategorizer, holding the collection of possible values.
AbstractDiscriminantBinaryCategorizer An abstract implementation of the DiscriminantBinaryCategorizer interface.
BinaryCategorizer The BinaryCategorizer extends the Categorizer interface by enforcing that the output categories are boolean values, which means that the categorizer is performing binary categorization.
Categorizer The Categorizer interface defines the functionality of an object that can take an input and evaluate what category out of a fixed set of categories it belongs to.
DefaultKernelBinaryCategorizer A default implementation of the KernelBinaryCategorizer that uses the standard way of representing the examples (supports) using a DefaultWeightedValue.
DiscriminantBinaryCategorizer Interface for a linear discriminant categorizer in the binary categorization domain.
DiscriminantCategorizer Interface for a Categorizer that can produce a value to discriminate between how well different instances fit a given category.
KernelBinaryCategorizer The KernelBinaryCategorizer class implements a binary categorizer that uses a kernel to do its categorization.
ThresholdBinaryCategorizer Interface for a binary categorizer that uses a threshold to determine the categorization.

Classes in gov.sandia.cognition.learning.function.categorization used by gov.sandia.cognition.learning.algorithm.svm

Class and Description
KernelBinaryCategorizer The KernelBinaryCategorizer class implements a binary categorizer that uses a kernel to do its categorization.
LinearBinaryCategorizer The LinearBinaryCategorizer class implements a binary categorizer that is implemented by a linear function.

Classes in gov.sandia.cognition.learning.function.categorization used by gov.sandia.cognition.learning.algorithm.tree

Class and Description
Categorizer The Categorizer interface defines the functionality of an object that can take an input and evaluate what category out of a fixed set of categories it belongs to.
VectorElementThresholdCategorizer The VectorElementThresholdCategorizer class implements a BinaryCategorizer that categorizes an input vector by applying a threshold to an element in a the vector.

Classes in gov.sandia.cognition.learning.function.categorization used by gov.sandia.cognition.learning.function.categorization

Class and Description
AbstractBinaryCategorizer The AbstractBinaryCategorizer implements the commonality of the BinaryCategorizer, holding the collection of possible values.
AbstractCategorizer An abstract implementation of the Categorizer interface.
AbstractConfidenceWeightedBinaryCategorizer Unit tests for class AbstractConfidenceWeightedBinaryCategorizer.
AbstractDiscriminantBinaryCategorizer An abstract implementation of the DiscriminantBinaryCategorizer interface.
AbstractDiscriminantCategorizer An abstract implementation of the DiscriminantCategorizer interface.
AbstractThresholdBinaryCategorizer 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).
BinaryCategorizer The BinaryCategorizer extends the Categorizer interface by enforcing that the output categories are boolean values, which means that the categorizer is performing binary categorization.
BinaryVersusCategorizer An adapter that allows binary categorizers to be adapted for multi-category problems by applying a binary categorizer to each pair of categories.
Categorizer The Categorizer interface defines the functionality of an object that can take an input and evaluate what category out of a fixed set of categories it belongs to.
CompositeCategorizer Composes a preprocessor function with a categorizer.
ConfidenceWeightedBinaryCategorizer Interface for a confidence-weighted binary categorizer, which defines a distribution over linear binary categorizers.
DiscriminantBinaryCategorizer Interface for a linear discriminant categorizer in the binary categorization domain.
DiscriminantCategorizer Interface for a Categorizer that can produce a value to discriminate between how well different instances fit a given category.
EvaluatorToCategorizerAdapter The EvaluatorToCategorizerAdapter class implements an adapter from a general Evaluator to be a Categorizer.
EvaluatorToCategorizerAdapter.Learner The EvaluatorToCategorizerAdapter.Learner class implements a simple supervised learner for a EvaluatorToCategorizerAdapter.
FisherLinearDiscriminantBinaryCategorizer A Fisher Linear Discriminant classifier, which creates an optimal linear separating plane between two Gaussian classes of different covariances.
KernelBinaryCategorizer The KernelBinaryCategorizer class implements a binary categorizer that uses a kernel to do its categorization.
LinearBinaryCategorizer The LinearBinaryCategorizer class implements a binary categorizer that is implemented by a linear function.
LinearMultiCategorizer A multi-category version of the LinearBinaryCategorizer that keeps a separate LinearBinaryCategorizer for each category.
MaximumAPosterioriCategorizer Categorizer that returns the category with the highest posterior likelihood for a given observation.
MaximumAPosterioriCategorizer.Learner Learner for the MAP categorizer
ScalarFunctionToBinaryCategorizerAdapter Adapts a scalar function to be a categorizer using a threshold.
ScalarThresholdBinaryCategorizer The ScalarThresholdBinaryCategorizer class implements a binary categorizer that uses a threshold to categorize a given double.
ThresholdBinaryCategorizer Interface for a binary categorizer that uses a threshold to determine the categorization.
VectorElementThresholdCategorizer The VectorElementThresholdCategorizer class implements a BinaryCategorizer that categorizes an input vector by applying a threshold to an element in a the vector.
WinnerTakeAllCategorizer Adapts an evaluator that outputs a vector to be used as a categorizer.

Classes in gov.sandia.cognition.learning.function.categorization used by gov.sandia.cognition.learning.function.kernel

Class and Description
DefaultKernelBinaryCategorizer A default implementation of the KernelBinaryCategorizer that uses the standard way of representing the examples (supports) using a DefaultWeightedValue.

Classes in gov.sandia.cognition.learning.function.categorization used by gov.sandia.cognition.statistics.method

Class and Description
ScalarThresholdBinaryCategorizer The ScalarThresholdBinaryCategorizer class implements a binary categorizer that uses a threshold to categorize a given double.