Normalize posteriors returned by HMMClassifier
eonu opened this issue · comments
Currently HMMClassifier returns unnormalized posteriors for each class when return_scores=True in predict().
It isn't much work to normalize these posteriors by simply dividing by the sum of all class posteriors, and having a true class distribution as an output is useful.
This cannot be done easily due to how small the log posteriors are.