https://github.com/boisgera/pioupiou

Pioupiou 🐤, the nano PPL
https://github.com/boisgera/pioupiou

programming python random

Last synced: 3 months ago
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Pioupiou 🐤, the nano PPL

• Host: GitHub
• URL: https://github.com/boisgera/pioupiou
• Owner: boisgera
• License: mit
• Created: 2021-02-24T12:00:11.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-05-25T19:58:34.000Z (about 3 years ago)
• Last Synced: 2025-03-18T22:22:50.489Z (3 months ago)
• Topics: programming, python, random
• Language: Python
• Homepage: https://boisgera.github.io/pioupiou
• Size: 708 KB
• Stars: 9
• Watchers: 3
• Forks: 3
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
Pioupiou 🐤

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[![build](https://github.com/boisgera/pioupiou/actions/workflows/build.yml/badge.svg)](https://github.com/boisgera/pioupiou/actions/workflows/build.yml)

[![coverage](https://img.shields.io/endpoint?url=https://gist.githubusercontent.com/boisgera/13615cd4d2f090624f8fa068f29d67f9/raw/test.json)](https://boisgera.github.io/pioupiou/htmlcov)

[![doc](https://img.shields.io/badge/doc-mkdocs-blue)](https://boisgera.github.io/pioupiou)

[![MIT License](https://img.shields.io/badge/License-MIT-blue)](LICENSE.txt)

![stage](https://img.shields.io/badge/stage-pre--alpha-red) 

Introduction

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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, 0.01)

    >>> 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.

![data](https://boisgera.github.io/pioupiou/images/xy.svg)

Getting started

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Install the latest version of pioupiou with

    $ pip install --upgrade git+https://github.com/boisgera/pioupiou.git

then have a look at the documentation :  🐤.