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pomegranate | Fast and Flexible Probabilistic Modeling in Python | SciPy 2017 | Jacob Schreiber
pomegranate is a python package that extends the ideas behind scikit-learn to probabilistic models such as mixtures, Bayesian networks, and hidden Markov models. pomegranate is built to be modular by separating out the probability distributions from the models themselves, allowing both arbitrary distributions to be used for any model, and ...
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