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  • License: MIT License (MIT License Copyright (c) [2022] [Au = OR [79]²] Permission is hereby granted, free of charge, to ...)
  • Author: Au = OR [79]
  • Requires: Python >=3.7
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Project description

MCMC-AU

Description

Ce projet est inspiré de la vidéo de ScienceEtonnante.

Decryption

Installation

  1. PIP : pip install mcmc-au
  2. Git : git clone https://github.com/elamani-drawing/mcmc-au/

Execution des tests

  1. Tous les tests: python -m unittest discover ./test/ -p "*"
  2. Un test précis: python ./test/Sampling.py

License

Ce projet est sous licence MIT.

Auteurs

  1. Au = Or [79]
  2. glogwa68

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for elamani_drawing from gravatar.com elamani_drawing

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Project links
Meta
  • License: MIT License (MIT License Copyright (c) [2022] [Au = OR [79]²] Permission is hereby granted, free of charge, to ...)
  • Author: Au = OR [79]
  • Requires: Python >=3.7
Classifiers

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This version

1.0.0

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mcmc_au-1.0.0-py3-none-any.whl (10.5 kB view hashes)

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