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v0.7.1

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@Rapfff Rapfff released this 11 Oct 12:06
· 91 commits to main since this release

Minor bug fixes.

New parameters for BW.fit:

  • verbose, bool (default is True): Print or not a small recap at the end of the learning.
  • return_data, bool (default is False): If set to True, a dictionary containing the following values will be returned alongside the hypothesis once the learning is done. 'learning_rounds', 'learning_time', 'training_set_loglikelihood'.
  • stormpy_output, bool (default is True): If set to True the output model will be a Stormpy sparse model. (not available for GoHMMs and MGoHMMS).

BW.fit method can take a list or a numpy ndarray as a training set. It will be internally converted to a jajapy.Set.