Mocapy++ / News: Recent posts

Mocapy version 0.726 released

Mocapy is a toolkit for learning and inference in Dynamic Bayesian Networks, implemented in Python.
Version 0.726 has some small bug fixes, mostly related to the recent numpy migration.

Posted by Thomas Hamelryck 2007-01-11

Mocapy version 0.725 released

Mocapy is a toolkit for learning and inference in Dynamic Bayesian Networks. Release 0.725 contains a number of small bug fixes.

Posted by Thomas Hamelryck 2006-12-21

Mocapy version 0.681 released

Mocapy is a parallelized toolkit for learning and inference
in Dynamic Bayesian Networks, implemented in Python.
Version 0.681 features various bug fixes and optimizations,
better Viterbi and Smoothing support and a new method
to sample from a Kent node.

Posted by Thomas Hamelryck 2005-08-09

First preliminary release of Mocapy

Mocapy is a parallelized toolkit for learning and inference in Dynamic Bayesian Networks. This is its first, very preliminary release.

Posted by Thomas Hamelryck 2004-09-30