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BaseHiddenGradientOptimizationLearningTData, TOptimizer Properties

The BaseHiddenGradientOptimizationLearningTData, TOptimizer generic type exposes the following members.

Public propertyFunction (Inherited from BaseHiddenConditionalRandomFieldLearningT.)
Public propertyHasConverged
Gets or sets whether the algorithm has converged.
Public propertyMaxIterations
Gets or sets the maximum number of iterations performed by the learning algorithm.
Public propertyModel
Gets or sets the model being trained.
(Inherited from BaseHiddenConditionalRandomFieldLearningT.)
Public propertyOptimizer
Gets the optimization algorithm being used.
Public propertyParallelOptions
Gets or sets the parallelization options for this algorithm.
Public propertyRegularization
Gets or sets the amount of the parameter weights which should be included in the objective function. Default is 0 (do not include regularization).
Public propertyToken
Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.
(Inherited from BaseHiddenConditionalRandomFieldLearningT.)
Public propertyTolerance
Gets or sets the tolerance value used to determine whether the algorithm has converged.
See Also