ForwardBackwardGradientT Properties

The ForwardBackwardGradientT generic type exposes the following members.

Properties

	Name	Description
	Inputs	Gets or sets the inputs to be used in the next call to the Objective or Gradient functions.
	LastError	Gets the error computed in the last call to the gradient or objective functions.
	Model	Gets the model being trained.
	Outputs	Gets or sets the outputs to be used in the next call to the Objective or Gradient functions.
	ParallelOptions	Gets or sets the parallelization options for this algorithm. (Inherited from ParallelLearningBase.)
	Parameters	Gets or sets the current parameter vector for the model being learned.
	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 cancel the algorithm while it is running. (Inherited from ParallelLearningBase.)

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