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ViterbiLearningTDistribution, TObservation Properties

The ViterbiLearningTDistribution, TObservation generic type exposes the following members.

Properties
  NameDescription
Public propertyBatches
Gets or sets on how many batches the learning data should be divided during learning. Batches are used to estimate adequately the first models so they can better compute the Viterbi paths for subsequent passes of the algorithm. Default is 1.
(Inherited from BaseViterbiLearningT.)
Public propertyCurrentIteration
Gets the current iteration.
(Inherited from BaseViterbiLearningT.)
Public propertyFittingOptions
Gets or sets the distribution fitting options to use when estimating distribution densities during learning.
Public propertyHasConverged
Gets a value indicating whether this instance has converged.
(Inherited from BaseViterbiLearningT.)
Public propertyIterations Obsolete.
Please use MaxIterations instead.
(Inherited from BaseViterbiLearningT.)
Public propertyMaxIterations
Gets or sets the maximum number of iterations performed by the learning algorithm.
(Inherited from BaseViterbiLearningT.)
Public propertyModel
Gets the model being trained.
Public propertyToken
Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.
(Overrides BaseViterbiLearningTToken.)
Public propertyTolerance
Gets or sets the maximum change in the average log-likelihood after an iteration of the algorithm used to detect convergence.
(Inherited from BaseViterbiLearningT.)
Public propertyUseLaplaceRule
Gets or sets whether to use Laplace's rule of succession to avoid zero probabilities.
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