BaseViterbiLearningT Properties |
The BaseViterbiLearningT generic type exposes the following members.
Name | Description | |
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Batches |
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.
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CurrentIteration |
Gets the current iteration.
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HasConverged |
Gets a value indicating whether this instance has converged.
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Iterations | Obsolete.
Please use MaxIterations instead.
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MaxIterations |
Gets or sets the maximum number of iterations
performed by the learning algorithm.
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Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
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Tolerance |
Gets or sets the maximum change in the average log-likelihood
after an iteration of the algorithm used to detect convergence.
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