BaumWelchLearningTDistribution Properties

Gets or sets the number of performed iterations.

Gets or sets the distribution fitting options to use when estimating distribution densities during learning.

Gets or sets whether the algorithm has converged.

Please use MaxIterations instead.

Gets the Gamma matrix of log probabilities created during the last iteration of the Baum-Welch learning algorithm.

Gets the Ksi matrix of log probabilities created during the last iteration of the Baum-Welch learning algorithm.

Gets the sample weights in the last iteration of the Baum-Welch learning algorithm.

Gets or sets the maximum number of iterations performed by the learning algorithm.

Gets the model being trained.

Gets or sets the maximum change in the average log-likelihood after an iteration of the algorithm used to detect convergence.