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 multi-class 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 multi-category 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 multi-category 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 Passive-Aggressive algorithm for learning a linear
binary categorizer.
|
| OnlinePassiveAggressivePerceptron.AbstractSoftMargin |
An abstract class for soft-margin versions of the Passive-Aggressive
algorithm.
|
| OnlinePassiveAggressivePerceptron.LinearSoftMargin |
An implementation of the linear soft-margin variant of the Passive-
Aggressive algorithm (PA-I).
|
| OnlinePassiveAggressivePerceptron.QuadraticSoftMargin |
An implementation of the quadratic soft-margin variant of the Passive-
Aggressive algorithm (PA-II).
|
| 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 Voted-Perceptron 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.
|