See: Description
Interface  Description 

KernelizableBinaryCategorizerOnlineLearner 
Interface for an online learner of a linear binary categorizer that can also
be used with a kernel function.

LinearizableBinaryCategorizerOnlineLearner<InputType> 
Interface for an online learner of a kernel binary categorizer that can also
be used for learning a linear categorizer.

Class  Description 

AbstractKernelizableBinaryCategorizerOnlineLearner 
An abstract implementation of the
KernelizableBinaryCategorizerOnlineLearner
interface. 
AbstractLinearCombinationOnlineLearner 
An abstract class for online learning of linear binary categorizers that
take the form of a weighted sum of inputs.

AbstractOnlineLinearBinaryCategorizerLearner 
An abstract class for online (incremental) learning algorithms that produce
an
LinearBinaryCategorizer . 
AggressiveRelaxedOnlineMaximumMarginAlgorithm 
An implementation of the Aggressive Relaxed Online Maximum Margin Algorithm
(AROMMA).

Ballseptron 
An implementation of the Ballseptron algorithm.

BatchMultiPerceptron<CategoryType> 
Implements a multiclass version of the standard batch Perceptron learning
algorithm.

OnlineBinaryMarginInfusedRelaxedAlgorithm 
An implementation of the binary MIRA algorithm.

OnlineMultiPerceptron<CategoryType> 
An online, multiple category version of the Perceptron algorithm.

OnlineMultiPerceptron.ProportionalUpdate<CategoryType> 
Variant of a multicategory Perceptron that performs a proportional
weight update on all categories that are scored higher than the true
category such that the weights sum to 1.0 and are proportional how much
larger the score was for each incorrect category than the true category.

OnlineMultiPerceptron.UniformUpdate<CategoryType> 
Variant of a multicategory Perceptron that performs a uniform weight
update on all categories that are scored higher than the true category
such that the weights are equal and sum to 1.

OnlinePassiveAggressivePerceptron 
An implementation of the PassiveAggressive algorithm for learning a linear
binary categorizer.

OnlinePassiveAggressivePerceptron.AbstractSoftMargin 
An abstract class for softmargin versions of the PassiveAggressive
algorithm.

OnlinePassiveAggressivePerceptron.LinearSoftMargin 
An implementation of the linear softmargin variant of the Passive
Aggressive algorithm (PAI).

OnlinePassiveAggressivePerceptron.QuadraticSoftMargin 
An implementation of the quadratic softmargin variant of the Passive
Aggressive algorithm (PAII).

OnlinePerceptron 
An online version of the classic Perceptron algorithm.

OnlineRampPassiveAggressivePerceptron 
An implementation of the Ramp Loss Passive Aggressive Perceptron (PA^R) from
the referenced paper.

OnlineShiftingPerceptron 
An implementation of the Shifting Perceptron algorithm.

OnlineShiftingPerceptron.LinearResult 
This is the result learned by the shifting perceptron.

OnlineVotedPerceptron 
An online version of the VotedPerceptron algorithm.

Perceptron 
The
Perceptron class implements the standard Perceptron learning
algorithm that learns a binary classifier based on vector input. 
RelaxedOnlineMaximumMarginAlgorithm 
An implementation of the Relaxed Online Maximum Margin Algorithm
(ROMMA).

Winnow 
An implementation of the Winnow incremental learning algorithm.
