Hidden Markov models with Baum-Welch algorithm using python

I’m looking for some python implementation (in pure python or wrapping existing stuffs) of HMM and Baum-Welch.

Some ideas?

I’ve just searched in google and I’ve found really poor material with respect to other machine learning techniques. Why?


The scikit-learn has an HMM implementation. It was until recently considered as unmaintained and its usage was discouraged. However it has improved in the development version. I cannot vouch for its quality, though, as I know nothing of HMMs.

Disclaimer: I am a scikit-learn developer.

Edit: we have moved the HMMs outside of scikit-learn, to https://github.com/hmmlearn/hmmlearn

Source : Link , Question Author : Community , Answer Author :
Gael Varoquaux

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