Description:

BayesPy provides tools for variational Bayesian inference in Python. The model is constructed as a Bayesian network. The aim is to provide a tool which is efficient, flexible and extendable enough for expert use but also accessible for more casual users.

• Documentation: http://bayespy.org

• Repository: https://github.com/bayespy/bayespy

Changes to previous version:

• Fix Gaussian node sampling
• Implement Add node for Gaussian nodes
• Raise error if attempting to install on Python 2
• Return both relative and absolute errors from numerical gradient checking
• Add nose plugin to filter unit test warnings appropriately

BibTeX Entry: Download

Supported Operating Systems: Platform Independent

Data Formats: Hdf, Csv

Tags: Variational Inference, Bayesian Inference

Archive: download here

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