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When I try to compute the Viterbi_EM_fit() in an HMM model using DiagonalGaussian prior I get the error:
n, muhat, sumsq = self._get_statistics(data) ValueError: too many values to unpack
the parameters seem to be inverted in the max_likelihood function.
max_likelihood
The text was updated successfully, but these errors were encountered:
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When I try to compute the Viterbi_EM_fit() in an HMM model using DiagonalGaussian prior I get the error:
n, muhat, sumsq = self._get_statistics(data) ValueError: too many values to unpackthe parameters seem to be inverted in the
max_likelihoodfunction.The text was updated successfully, but these errors were encountered: