https://github.com/anyoptimization/pysampling

Sampling: Random, LHS, Sobol, Halton
https://github.com/anyoptimization/pysampling

Last synced: 10 months ago
JSON representation

Sampling: Random, LHS, Sobol, Halton

• Host: GitHub
• URL: https://github.com/anyoptimization/pysampling
• Owner: anyoptimization
• License: apache-2.0
• Created: 2019-02-04T19:36:26.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2021-09-15T13:53:03.000Z (over 4 years ago)
• Last Synced: 2025-04-06T23:13:05.981Z (10 months ago)
• Language: Python
• Homepage: https://www.egr.msu.edu/coinlab/blankjul/pysampling/
• Size: 594 KB
• Stars: 11
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

Awesome Lists containing this project

README

          
pysampling

====================================================================

You can find the detailed documentation here: https://anyoptimization.com/projects/pysampling

|python| |license|

.. |python| image:: https://img.shields.io/badge/python-3.6-blue.svg

   :alt: python 3.6

.. |license| image:: https://img.shields.io/badge/license-apache-orange.svg

   :alt: license apache

   :target: https://www.apache.org/licenses/LICENSE-2.0

Installation

============

The framework is available at the PyPi Repository:

.. code-block:: bash

    pip install -U pysampling

Usage

=====

The method to be used for sampling using different algorithm must be

import from pysampling.sample. Here, we use Latin Hypercube Sampling to

generate 50 points in 2 dimensions.

.. code:: python

    import matplotlib.pyplot as plt

    from pysampling.sample import sample

    X = sample("lhs", 50, 2)

    plt.scatter(X[:, 0], X[:, 1], s=30, facecolors='none', edgecolors='r')

    plt.show()

Contact

=======

Feel free to contact me if you have any question:

::

    Julian Blank (blankjul [at] egr.msu.edu)

    Michigan State University

    Computational Optimization and Innovation Laboratory (COIN)

    East Lansing, MI 48824, USA