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