I am pleased to announce the release of Lea 2.1.1 ! What is Lea? ------------ Lea is a Python package aiming at working with discrete probability distributions in an intuitive way. It allows you to model a broad range of random phenomenons, like dice throwing, coin tossing, gambling, weather, etc. It offers several modelling features of a PPL (Probabilistic Programming Language), including bayesian inference and Markov chains. Lea is open-source (LGPL) and runs on Python 2 or 3. See project page below for more information (installation, tutorials, examples, etc).
What's new in Lea 2.1.1? ------------------------ (compared to 2.0.0) - new methods: mode, if_ and reduce - bug fixes on CPT (conditional probability tables) - fixed broken withProb method - performance improvements for Python 2 Lea project page ---------------- http://code.google.com/p/lea Download Lea (PyPI) ------------------- http://pypi.python.org/pypi/lea With the hope that Lea can make your happiness less uncertain, Pierre Denis -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
