A nano probabilistic programming language for Python
Project description
Pioupiou 🐤
Introduction
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
then have a look at the documentation : https://boisgera.github.io/pioupiou/ 🐤.
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-0.0a12-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | bc7fe98771e209330e347abbf01fe9e6808e0a977f984acfd6dc6632cfc52e1a |
|
| MD5 | 93b479cdfdbe24ea1d3f417f6f360a5d |
|
| BLAKE2b-256 | f69b44a8865079f4b8228107a8c6b9f5facb98b975993e7c1499b6660eb99c10 |
