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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