The QuasiNewtonLearningT generic type exposes the following members.
Gets the current iteration number.
Gets or sets the potential function to use if this learning algorithm needs to create a new ConditionalRandomFieldT.
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.
Gets or sets the parallelization options for this algorithm.(Inherited from ParallelLearningBase.)
Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.(Inherited from ParallelLearningBase.)
Gets or sets the tolerance value used to determine whether the algorithm has converged.