Uses of Interface
gov.sandia.cognition.learning.algorithm.perceptron.KernelizableBinaryCategorizerOnlineLearner

Packages that use KernelizableBinaryCategorizerOnlineLearner

Package	Description
gov.sandia.cognition.learning.algorithm.perceptron	Provides the Perceptron algorithm and some of its variations.
gov.sandia.cognition.learning.algorithm.perceptron.kernel

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

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

Modifier and Type	Class and Description
class	AbstractKernelizableBinaryCategorizerOnlineLearner An abstract implementation of the KernelizableBinaryCategorizerOnlineLearner interface.
class	AbstractLinearCombinationOnlineLearner An abstract class for online learning of linear binary categorizers that take the form of a weighted sum of inputs.
class	AggressiveRelaxedOnlineMaximumMarginAlgorithm An implementation of the Aggressive Relaxed Online Maximum Margin Algorithm (AROMMA).
class	Ballseptron An implementation of the Ballseptron algorithm.
class	OnlineBinaryMarginInfusedRelaxedAlgorithm An implementation of the binary MIRA algorithm.
class	OnlinePassiveAggressivePerceptron An implementation of the Passive-Aggressive algorithm for learning a linear binary categorizer.
static class	OnlinePassiveAggressivePerceptron.AbstractSoftMargin An abstract class for soft-margin versions of the Passive-Aggressive algorithm.
static class	OnlinePassiveAggressivePerceptron.LinearSoftMargin An implementation of the linear soft-margin variant of the Passive- Aggressive algorithm (PA-I).
static class	OnlinePassiveAggressivePerceptron.QuadraticSoftMargin An implementation of the quadratic soft-margin variant of the Passive- Aggressive algorithm (PA-II).
class	OnlinePerceptron An online version of the classic Perceptron algorithm.
class	OnlineRampPassiveAggressivePerceptron An implementation of the Ramp Loss Passive Aggressive Perceptron (PA^R) from the referenced paper.
class	OnlineShiftingPerceptron An implementation of the Shifting Perceptron algorithm.
class	RelaxedOnlineMaximumMarginAlgorithm An implementation of the Relaxed Online Maximum Margin Algorithm (ROMMA).

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

Fields in gov.sandia.cognition.learning.algorithm.perceptron.kernel declared as KernelizableBinaryCategorizerOnlineLearner

Modifier and Type	Field and Description
protected KernelizableBinaryCategorizerOnlineLearner	KernelBinaryCategorizerOnlineLearnerAdapter.learner The wrapped kernelizable learner.

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

Modifier and Type	Method and Description
KernelizableBinaryCategorizerOnlineLearner	KernelBinaryCategorizerOnlineLearnerAdapter.getLearner() Gets the kernelizable learner that this adapter is wrapping.

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

Modifier and Type	Method and Description
void	KernelBinaryCategorizerOnlineLearnerAdapter.setLearner(KernelizableBinaryCategorizerOnlineLearner learner) Sets the kernelizable learner that this adapter is wrapping.

Constructors in gov.sandia.cognition.learning.algorithm.perceptron.kernel with parameters of type KernelizableBinaryCategorizerOnlineLearner

Constructor and Description
KernelBinaryCategorizerOnlineLearnerAdapter(Kernel<? super InputType> kernel, KernelizableBinaryCategorizerOnlineLearner learner) Creates a new KernelBinaryCategorizerOnlineLearnerAdapter with the given kernel and learner.