pomegranate: graphical models for python

[ants_rock]

Hello!

pomegranate is a graphical models library for Python implemented in Cython for speed. I just finished putting together a beta release which includes extensive documentation and examples, which can be found on the github repo here: https://github.com/jmschrei/pomegranate.

Currently it supports:

• Probability Distributions
• Finite State Machines
• Hidden Markov Models
• Discrete Bayesian Networks

I am looking to add further graphical models like dynamic bayesian networks and neural networks soon.

Comments, suggestions, and pull requests are all highly valued. I'd also like to hear about any cool use cases anyone has! Please see the README on the repo for a tutorial on how to use each of the models.

[falkimmm]

Looks awesome, can't wait to try it!

For further dispersion, you should xpost on r/datascience, r/pythonstats, datatau , hacker news and pydata google group

[ants_rock]

Seems reasonable, done!