MaximumLikelihoodLearningTDistribution, TObservation Properties

Gets or sets the function that initializes the emission distributions in the hidden Markov Models.

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

Gets the model being trained.

Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.

Gets or sets whether to use Laplace's rule of succession to avoid zero probabilities.

Gets or sets whether the emission fitting algorithm should present weighted samples or simply the clustered samples to the density estimation methods.