{ "info": { "author": "Jan Brezina, Martin Spetlik, Klara Steklova", "author_email": "jan.brezina@tul.cz", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Operating System :: Unix", "Programming Language :: Python :: 3", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy", "Topic :: Scientific/Engineering" ], "description": "====\nMLMC\n====\n|circleci| |version| |supported-versions|\n\n\n.. |docs| image:: https://readthedocs.org/projects/mlmc/badge/?style=flat\n :target: https://readthedocs.org/projects/python-mlmc\n :alt: Documentation Status\n\n.. |circleci| image:: https://circleci.com/gh/GeoMop/MLMC/tree/master.svg?style=svg\n :alt: CircleCI Build Status\n :target: https://circleci.com/gh/GeoMop/MLMC/tree/master\n\n.. |appveyor| image:: https://ci.appveyor.com/api/projects/status/github/ionelmc/python-nameless?branch=master&svg=true\n :alt: AppVeyor Build Status\n :target: https://ci.appveyor.com/project/ionelmc/python-nameless\n\n.. |requires| image:: https://requires.io/github/ionelmc/python-nameless/requirements.svg?branch=master\n :alt: Requirements Status\n :target: https://requires.io/github/ionelmc/python-nameless/requirements/?branch=master\n\n.. |codecov| image:: https://codecov.io/github/ionelmc/python-nameless/coverage.svg?branch=master\n :alt: Coverage Status\n :target: https://codecov.io/github/ionelmc/python-nameless\n\n.. |version| image:: https://img.shields.io/pypi/v/mlmc.svg\n :alt: PyPI Package latest release\n :target: https://pypi.org/project/mlmc/\n\n.. |commits-since| image:: https://img.shields.io/github/commits-since/ionelmc/python-mlmc/v0.1.0.svg\n :alt: Commits since latest release\n :target: https://github.com/ionelmc/python-mlmc/compare/v0.1.0...master\n\n.. |wheel| image:: https://img.shields.io/pypi/wheel/mlmc.svg\n :alt: PyPI Wheel\n :target: https://pypi.org/project/mlmc/\n\n.. |supported-versions| image:: https://img.shields.io/pypi/pyversions/mlmc.svg\n :alt: Supported versions\n :target: https://pypi.org/project/mlmc/\n\n.. |supported-implementations| image:: https://img.shields.io/pypi/implementation/mlmc.svg\n :alt: Supported implementations\n :target: https://pypi.org/project/mlmc/\n\n\n.. end-badges\n\nMulti-level Monte Carlo method with approximation of distribution function and quantiles.\nIt is meant as part of GeoMop project in particular Analysis component.\n\nInstallation\n============\nPackage can be installed via pip.\n\n::\n\n pip install mlmc\n\nDocumentation\n=============\nhttps://mlmc.readthedocs.io/\n\nDevelopment\n===========\n\n.. _description: https://docs.google.com/document/d/1u3KTiCAEduGTqbpd9hojn-cw0BiB7mKblrMj1A911FE/edit#\n\nFollow `description`_ of continuous integration practices. 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