Project details for BayesPy

Logo BayesPy 0.3

by jluttine - March 5, 2015, 09:26:26 CET [ Project Homepage BibTeX Download ]

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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.

Changes to previous version:
  • Add gradient-based optimization methods (Riemannian/natural gradient or normal)
  • Add collapsed inference
  • Add the pattern search method
  • Add deterministic annealing
  • Add stochastic variational inference
  • Add optional input signals to Gaussian Markov chains
  • Add unit tests for plotting functions (by Hannu Hartikainen)
  • Add printing support to nodes
  • Drop Python 3.2 support
BibTeX Entry: Download
Supported Operating Systems: Platform Independent
Data Formats: Hdf, Csv
Tags: Variational Inference, Bayesian Inference
Archive: download here


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