{ "info": { "author": "Julian Blank", "author_email": "blankjul@egr.msu.edu", "bugtrack_url": null, "classifiers": [ "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: Apache Software License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Artificial Intelligence", "Topic :: Scientific/Engineering :: Mathematics" ], "description": "pysampling\n====================================================================\n\nYou can find the detailed documentation here: https://www.egr.msu.edu/coinlab/blankjul/pysampling/\n\n\n|travis| |python| |license|\n\n\n.. |travis| image:: https://travis-ci.com/julesy89/pysampling.svg?branch=master\n :alt: build status\n :target: https://travis-ci.com/msu-coinlab/pymoo\n\n.. |python| image:: https://img.shields.io/badge/python-3.6-blue.svg\n :alt: python 3.6\n\n.. |license| image:: https://img.shields.io/badge/license-apache-orange.svg\n :alt: license apache\n :target: https://www.apache.org/licenses/LICENSE-2.0\n\n\n\nInstallation\n============\n\nThe framework is available at the PyPi Repository:\n\n.. code-block:: bash\n\n pip install -U pysampling\n\n\nUsage\n=====\n\nThe method to be used for sampling using different algorithm must be\nimport from pysampling.sample. Here, we use Latin Hypercube Sampling to\ngenerate 50 points in 2 dimensions.\n\n.. code:: python\n\n import matplotlib.pyplot as plt\n from pysampling.sample import sample\n\n X = sample(\"lhs\", 50, 2)\n\n plt.scatter(X[:, 0], X[:, 1], s=30, facecolors='none', edgecolors='r')\n plt.show()\n\n\n\nContact\n=======\n\n\nFeel free to contact me if you have any question:\n\n::\n\n Julian Blank (blankjul [at] egr.msu.edu)\n Michigan State University\n Computational Optimization and Innovation Laboratory (COIN)\n East Lansing, MI 48824, USA\n\n\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://www.egr.msu.edu/coinlab/blankjul/pysampling/", "keywords": "optimization", "license": "Apache License 2.0", "maintainer": "", "maintainer_email": "", "name": "pysampling", "package_url": "https://pypi.org/project/pysampling/", "platform": "any", "project_url": 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