daft-pgm.org

Daft Daft 0.0.3 documentation

Beautifully rendered probabilistic graphical models. Is a Python package that uses matplotlib. For publication in a journal or on the internet. With a short Python script and an intuitive model-building syntax you can design directed Bayesian Networks, directed acyclic graphs and undirected Markov random fields models and save them in any formats that matplotlib supports including PDF, PNG, EPS and SVG. Installing the most recent stable version of Daft should be pretty easy if you use pip.
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TITLE

Daft Daft 0.0.3 documentation

DESCRIPTION

Beautifully rendered probabilistic graphical models. Is a Python package that uses matplotlib. For publication in a journal or on the internet. With a short Python script and an intuitive model-building syntax you can design directed Bayesian Networks, directed acyclic graphs and undirected Markov random fields models and save them in any formats that matplotlib supports including PDF, PNG, EPS and SVG. Installing the most recent stable version of Daft should be pretty easy if you use pip.

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