[scikit-learn] pomegranate v0.9.0 released: probabilistic modeling for Python

[Jacob Schreiber]

Howdy all!

I'm pleased to announced the release of pomegranate v0.9.0. The focus of
this release is on missing value support across all model fitting /
structure learning / inference methods and models. This enables you to do
everything from fitting a multivariate Gaussian distribution to an
incomplete data set (using a GPU if desired!) to learning the structure of
a Bayesian network on an incomplete data set, to running Viterbi decoding
using a hidden Markov model on a sequence with some missing values.

Read more about it here: http://bit.ly/2CyrXtX

Thanks!
Jacob
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