Groups | Search | Server Info | Keyboard shortcuts | Login | Register [http] [https] [nntp] [nntps]


Groups > comp.lang.python.announce > #3079

ANN: Lea 3.1.0 released

Path csiph.com!fu-berlin.de!uni-berlin.de!not-for-mail
From "Pierre Denis" <pie.denis@skynet.be>
Newsgroups comp.lang.python.announce
Subject ANN: Lea 3.1.0 released
Date Mon, 25 Mar 2019 22:11:27 +0100
Lines 52
Approved python-announce-list@python.org
Message-ID <mailman.307.1553688201.20971.python-announce-list@python.org> (permalink)
References <001e01d4e34f$4f5a5a70$ee0f0f50$@denis@skynet.be>
Mime-Version 1.0
Content-Type text/plain; charset="us-ascii"
Content-Transfer-Encoding 7bit
X-Trace news.uni-berlin.de 2voNXR2dwTrb1koXIXF0PQRA+P8dGIqR97zvaPCPrlEg==
Return-Path <pie.denis@skynet.be>
X-Original-To python-announce-list@python.org
Delivered-To python-announce-list@mail.python.org
X-Spam-Status OK 0.000
X-Spam-Evidence '*H*': 1.00; '*S*': 0.00; 'wiki': 0.03; 'subject:ANN': 0.05; 'subject:released': 0.05; 'pypi': 0.07; '------------': 0.09; 'aiming': 0.09; 'conditional': 0.09; 'fixes': 0.09; 'functions,': 0.09; 'generally,': 0.09; 'intuitive': 0.09; 'object,': 0.09; 'url:project': 0.09; 'url:pypi': 0.09; 'python': 0.13; 'values': 0.14; 'bug': 0.16; 'random': 0.16; 'ai,': 0.16; 'chains': 0.16; 'denis': 0.16; 'finite': 0.16; 'pierre': 0.16; 'received:adsl- dyn.isp.belgacom.be': 0.16; 'received:belgacom.be': 0.16; 'received:isp.belgacom.be': 0.16; 'url-ip:18.205.93.0/32': 0.16; 'url-ip:18.205.93.1/32': 0.16; 'url-ip:18.205.93.2/32': 0.16; 'url-ip:18.205.93/24': 0.16; 'url-ip:18.205/16': 0.16; 'url:bitbucket': 0.16; 'algorithm': 0.18; 'essentially': 0.18; 'url:wiki': 0.18; 'module': 0.19; 'api': 0.19; 'tutorials': 0.19; 'cc:2**0': 0.22; 'programming': 0.23; 'url-ip:151.101.0.223/32': 0.23; 'url-ip:151.101.128.223/32': 0.23; 'url- ip:151.101.192.223/32': 0.23; 'url-ip:151.101.64.223/32': 0.23; 'paul': 0.23; 'url:home': 0.23; 'url-ip:151.101.192/24': 0.24; 'functions': 0.24; 'received:be': 0.24; 'url-ip:151.101.0/24': 0.24; 'url-ip:151.101.128/24': 0.24; 'url-ip:151.101.64/24': 0.24; '...': 0.25; 'url-ip:18/8': 0.28; 'url-ip:151.101/16': 0.29; 'url- ip:151/8': 0.29; 'to:addr:python-announce-list': 0.29; 'cc:no real name:2**0': 0.33; 'function': 0.34; 'subject:: ': 0.35; 'especially': 0.36; 'working': 0.36; 'pfxlen:0': 0.36; '....': 0.36; 'broad': 0.37; 'symbolic': 0.37; 'url:3': 0.38; 'are:': 0.39; 'less': 0.60; 'finance,': 0.61; 'more...': 0.61; 'plain': 0.62; 'range': 0.62; 'particular': 0.63; 'known': 0.65; 'hope': 0.65; 'skip:- 20': 0.65; 'numbers,': 0.66; 'education,': 0.67; 'modeling': 0.67; 'networks,': 0.67; 'chain': 0.68; 'gave': 0.68; 'optimization': 0.68; 'produce': 0.68; 'feedbacks': 0.84; 'statues': 0.84
X-Belgacom-Dynamic yes
X-IronPort-Anti-Spam-Filtered true
X-IronPort-Anti-Spam-Result A2AiBQDYQplc/zcK9VFkGwEBAQEDAQEBBwMBAQGBZQKCDycBHSNxEieIQIRJjQUBjg2LcjIIAYQ2CoUTIzkFDAEBAwEBCQEDAm0cDIVZHwESHCMNBQYSUCAfAQQeC4MNgXkLr0kCMYQwAYV+gS8BjQg/gRGDUIURhRQDijyHPZMdBwICgkqFF4tWGYJdkSABiCOIfo8yIIFWbYNACBYgik2FQEEwAYEfCBUBjm0BAQ
X-IPAS-Result A2AiBQDYQplc/zcK9VFkGwEBAQEDAQEBBwMBAQGBZQKCDycBHSNxEieIQIRJjQUBjg2LcjIIAYQ2CoUTIzkFDAEBAwEBCQEDAm0cDIVZHwESHCMNBQYSUCAfAQQeC4MNgXkLr0kCMYQwAYV+gS8BjQg/gRGDUIURhRQDijyHPZMdBwICgkqFF4tWGYJdkSABiCOIfo8yIIFWbYNACBYgik2FQEEwAYEfCBUBjm0BAQ
X-Mailer Microsoft Office Outlook 12.0
Content-Language en-us
Thread-Index AdTjT08pL5QRLx60QW6Igs4/LVn4kA==
X-Mailman-Approved-At Wed, 27 Mar 2019 08:03:20 -0400
X-BeenThere python-announce-list@python.org
X-Mailman-Version 2.1.29
Precedence list
List-Id Announcement-only list for the Python programming language <python-announce-list.python.org>
List-Unsubscribe <https://mail.python.org/mailman/options/python-announce-list>, <mailto:python-announce-list-request@python.org?subject=unsubscribe>
List-Archive <http://mail.python.org/pipermail/python-announce-list/>
List-Post <mailto:python-announce-list@python.org>
List-Help <mailto:python-announce-list-request@python.org?subject=help>
List-Subscribe <https://mail.python.org/mailman/listinfo/python-announce-list>, <mailto:python-announce-list-request@python.org?subject=subscribe>
X-Mailman-Original-Message-ID <001e01d4e34f$4f5a5a70$ee0f0f50$@denis@skynet.be>
Xref csiph.com comp.lang.python.announce:3079

Show key headers only | View raw


Lea 3.1.0 final is now released!

---> http://pypi.org/project/lea/3.1.0

What is Lea?
------------
Lea is a Python module aiming at working with discrete probability
distributions in an intuitive way.

It allows you modeling a broad range of random phenomena: gambling, weather,
finance, etc. More generally, Lea may be used for any finite set of discrete
values having known probability: numbers, booleans, date/times, symbols, ...
Each probability distribution is modeled as a plain object, which can be
named, displayed, queried or processed to produce new probability
distributions. Lea also provides advanced functions and Probabilistic
Programming (PP) features; these include conditional probabilities, Bayesian
networks, joint probability distributions, Markov chains and symbolic
computation. Lea can be used for AI, PP, gambling, education, ...

LGPL - Python 2.6+ / Python 3 supported

What's new in Lea 3.1.0?
------------------------
The present version essentially consolidates the previous one (3.0.1),
adding just few new features. The main changes are:

- new switch_func method, for defining CPT by a function (far less
memory-consuming for models like noisy-or, noisy-max)
- improvements on Markov chain functions, including calculation of absorbing
MC
- optimization of lea.max_of, lea.min_of functions
- bug fixes for symbolic calculation (in particular for Python 2.7)
- numerous addings/improvements on wiki tutorials and documentation,
especially on Lea API

Many thanks...
--------------
... to Paul Moore, Jens Finkhaeuser and Rasmus Bonnevie who provided
proposals, contributions, feedbacks that gave the impetus for the present
version.

To learn more...
----------------
Lea 3 on PyPI     -> http://pypi.org/project/lea/3.1.0
Lea project page  -> http://bitbucket.org/piedenis/lea
Documentation     -> http://bitbucket.org/piedenis/lea/wiki/Home
Statues algorithm -> http://arxiv.org/abs/1806.09997

With the hope that Lea can make this Universe less hazardous,

Pierre Denis

Back to comp.lang.python.announce | Previous | Next | Find similar | Unroll thread


Thread

ANN: Lea 3.1.0 released "Pierre Denis" <pie.denis@skynet.be> - 2019-03-25 22:11 +0100

csiph-web