Uses of Interface

Packages that use DiscriminantBinaryCategorizer
gov.sandia.cognition.learning.algorithm.ensemble Provides ensmble methods. 
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 DiscriminantBinaryCategorizer in gov.sandia.cognition.learning.algorithm.ensemble

Classes in gov.sandia.cognition.learning.algorithm.ensemble that implement DiscriminantBinaryCategorizer
 class WeightedBinaryEnsemble<InputType,MemberType extends Evaluator<? super InputType,? extends 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 DiscriminantBinaryCategorizer in gov.sandia.cognition.learning.algorithm.perceptron

Classes in gov.sandia.cognition.learning.algorithm.perceptron that implement DiscriminantBinaryCategorizer
static class OnlineShiftingPerceptron.LinearResult
          This is the result learned by the shifting perceptron.

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

Classes in gov.sandia.cognition.learning.algorithm.perceptron.kernel that implement DiscriminantBinaryCategorizer
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 DiscriminantBinaryCategorizer in gov.sandia.cognition.learning.function.categorization

Subinterfaces of DiscriminantBinaryCategorizer in gov.sandia.cognition.learning.function.categorization
 interface ConfidenceWeightedBinaryCategorizer
          Interface for a confidence-weighted binary categorizer, which defines a distribution over linear binary categorizers.
 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 DiscriminantBinaryCategorizer
 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.