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HiddenQuasiNewtonLearningT Properties |
The HiddenQuasiNewtonLearningT generic type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | CurrentIteration |
Gets the current iteration number.
|
| Function |
Gets or sets the potential function to be used if this learning algorithm
needs to create a new HiddenConditionalRandomFieldT.
(Inherited from BaseHiddenConditionalRandomFieldLearningT.) |
| HasConverged |
Gets or sets whether the algorithm has converged.
(Inherited from BaseHiddenGradientOptimizationLearningTData, TOptimizer.) |
| MaxIterations |
Gets or sets the maximum number of iterations
performed by the learning algorithm.
(Inherited from BaseHiddenGradientOptimizationLearningTData, TOptimizer.) |
| Model |
Gets or sets the model being trained.
(Inherited from BaseHiddenConditionalRandomFieldLearningT.) |
| Optimizer |
Gets the optimization algorithm being used.
(Inherited from BaseHiddenGradientOptimizationLearningTData, TOptimizer.) |
| ParallelOptions |
Gets or sets the parallelization options for this algorithm.
(Inherited from BaseHiddenGradientOptimizationLearningTData, TOptimizer.) |
| Regularization |
Gets or sets the amount of the parameter weights
which should be included in the objective function.
Default is 0 (do not include regularization).
(Inherited from BaseHiddenGradientOptimizationLearningTData, TOptimizer.) |
| Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
(Inherited from BaseHiddenConditionalRandomFieldLearningT.) |
| Tolerance |
Gets or sets the tolerance value used to determine
whether the algorithm has converged.
(Inherited from BaseHiddenGradientOptimizationLearningTData, TOptimizer.) |
See Also