|
Accord.Statistics.Models.Fields.Learning Namespace |
Contains learning algorithms for CRFs and
HCRFs, such as
Conjugate Gradient,
L-BFGS and
RProp-based learning.
Classes| Class | Description | |
|---|---|---|
 | BaseHiddenConditionalRandomFieldLearningT |
Abstract base class for hidden Conditional Random Fields algorithms.
|
| BaseHiddenGradientOptimizationLearningTData, TOptimizer |
Base class for Hidden Conditional Random Fields learning algorithms based
on gradient optimization algorithms.
|
| ForwardBackwardGradientT |
Linear Gradient calculator class for
Hidden Conditional Random Fields.
|
 | HiddenConjugateGradientLearningT |
Conjugate Gradient learning algorithm for
Hidden Conditional Hidden Fields.
|
| HiddenGradientDescentLearningT |
Stochastic Gradient Descent learning algorithm for
Hidden Conditional Hidden Fields.
|
| HiddenQuasiNewtonLearningT |
Quasi-Newton (L-BFGS) learning algorithm for
Hidden Conditional Hidden Fields.
|
| HiddenResilientGradientLearningT |
Resilient Gradient Learning.
|
| QuasiNewtonLearningT |
Quasi-Newton (L-BFGS) learning algorithm for
Conditional Hidden Fields.
|
Interfaces| Interface | Description | |
|---|---|---|
 | IConditionalRandomFieldLearningT | Obsolete.
Common interface for Conditional Random Fields learning algorithms.
|
| IHiddenConditionalRandomFieldLearningT | Obsolete.
Common interface for Hidden Conditional Random Fields learning algorithms.
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RemarksThe namespace class diagram is shown below.
See Also