BaseHiddenGradientOptimizationLearningTData, TOptimizer Properties

Properties

	Name	Description
	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.
	MaxIterations	Gets or sets the maximum number of iterations performed by the learning algorithm.
	Model	Gets or sets the model being trained. (Inherited from BaseHiddenConditionalRandomFieldLearningT.)
	Optimizer	Gets the optimization algorithm being used.
	ParallelOptions	Gets or sets the parallelization options for this algorithm.
	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).
	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.

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