[scikit-learn] pomegranate v0.8.0 released

[Jacob Schreiber]

Howdy everyone!

I am pleased to announce the release of pomegranate v0.8.0, for fast and
flexible probabilistic modeling in Python. The core set of models in
pomegranate include Bayesian networks, hidden Markov models, mixtures, and
Bayes classifiers, among others. While no new models have been added in
this release, this update adds many more features, including extending
out-of-core learning, minibatch learning, semi-supervised learning, GPU
support, and more built-in parallelization support.

pomegranate is pip installable using `pip install pomegranate`. Wheels have
been built for Windows, bypassing the need for a C++ compiler.

Please see the full announcement here
<https://www.reddit.com/r/MachineLearning/comments/75ax1f/p_pomegranate_v080_released_probabilistic/>,
check out the GitHub here <https://github.com/jmschrei/pomegranate>, or
read the documentation here <https://pomegranate.readthedocs.io/en/latest/>.

I'd love to answer any questions or hear any comments!

Jacob
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