A nano probabilistic programming language for Python
Project description
Pioupiou
Pioupiou is a nano probabilistic programming language, embedded into Python.
Use it to define probabilistic models :
>>> import pioupiou as pp
>>> a, b = 0.5, 1.0
>>> X = pp.Uniform(0.0, 1.0)
>>> E = pp.Normal(0.0, 0.1)
>>> Y = a * X + b + E
and to simulate them :
>>> n = 1000 # number of samples
>>> omega = pp.Omega(n)
>>> x, y = X(omega), Y(omega)
>>> x # doctest: +ELLIPSIS
array([6.36961687e-01, 2.69786714e-01, 4.09735239e-02, ..., 3.80007897e-01])
>>> y # doctest: +ELLIPSIS
array([1.09588258, 1.22942954, 1.01954509, 0.99213115, ..., 1.14366864])
That's about it! Use this data as you see fit.
Getting started
Install the latest version of pioupiou with:
$ pip install --upgrade git+https://github.com/boisgera/pioupiou.git
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for boisgera_pioupiou-0.0a5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2b57aaf005627ffb6862f305860dad0c210a3c9073d7c98cd7798699a82e9576 |
|
MD5 | 3322aae4668fd2985a32bf899cd6bbe2 |
|
BLAKE2b-256 | 22f251e8d85a22579cc25599a9236c3b23d82ef9eae9d5364ca3e0116ef9d9de |