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clhs

Conditioned Latin Hypercube Sampling in Python - Docs:

https://github.com/wagoner47/clhs_py

Science Score: 23.0%

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    CITATION.cff file
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    DOI references
    Found 2 DOI reference(s) in README
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    4 of 4 committers (100.0%) from academic institutions
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    Scientific vocabulary similarity
    Low similarity (8.8%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Conditioned Latin Hypercube Sampling in Python - Docs:

Basic Info
Statistics
  • Stars: 16
  • Watchers: 0
  • Forks: 7
  • Open Issues: 4
  • Releases: 0
Created about 7 years ago · Last pushed about 5 years ago
Metadata Files
Readme License

README.rst 

==============================================================================
cLHS: Conditioned Latin Hypercube Sampling
==============================================================================
|docs| |GitHub| |binder| |license| |pepy|

.. |docs| image:: https://readthedocs.org/projects/clhs-py/badge/?version=latest
   :target: https://clhs-py.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation Status

.. |GitHub| image:: https://img.shields.io/badge/GitHub-clhs__py-informational.svg
   :target: https://github.com/wagoner47/clhs_py
   
.. |binder| image:: https://mybinder.org/badge_logo.svg
 :target: https://mybinder.org/v2/gh/wagoner47/clhs_py.git/master?filepath=%2Fdocs%2Fnotebooks

.. |license| image:: https://img.shields.io/badge/License-MIT-blue.svg
   :target: https://github.com/wagoner47/clhs_py/blob/master/LICENSE.rst
   
.. |pepy| image:: https://static.pepy.tech/personalized-badge/clhs?period=total&units=international_system&left_color=black&right_color=orange&left_text=Downloads
   :target: https://pepy.tech/project/clhs

This **Python** package is based on the **Conditioned Latin Hypercube Sampling (cLHS)**
method of `Minasny & McBratney (2006)`_. It follows some of the code from the **R** package
clhs_ of Roudier et al.

- It attempts to create a Latin Hypercube sample by selecting only from input data. 
- It uses simulated annealing to force the sampling to converge more rapidly.
- It allows for setting a stopping criterion on the objective function described in `Minasny & McBratney (2006)`_.

You may reproduce the jupyter notebook example on `Binder `_.

Please check `online documentation `_ for more information.


.. _Minasny & McBratney (2006): https://doi.org/10.1016/j.cageo.2005.12.009
.. _clhs: https://CRAN.R-project.org/package=clhs

Owner

  • Name: Erika Wagoner
  • Login: wagoner47
  • Kind: user

Physics PhD interested in doing research in cosmology.

GitHub Events

Total
  • Watch event: 2
Last Year
  • Watch event: 2

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 62
  • Total Committers: 4
  • Avg Commits per committer: 15.5
  • Development Distribution Score (DDS): 0.419
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Erika Wagoner w****7@e****u 36
Zhonghua Zheng z****5@I****u 13
zzheng z****5@i****u 12
JiaweiZhuang j****g@g****u 1
Committer Domains (Top 20 + Academic)
illinois.edu: 2 g.harvard.edu: 1 email.arizona.edu: 1

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 242 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 2
  • Total maintainers: 1
pypi.org: clhs

Conditioned Latin Hypercube Sampling in Python

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 242 Last month
Rankings
Dependent packages count: 10.0%
Forks count: 12.5%
Stargazers count: 16.0%
Average: 16.1%
Downloads: 20.2%
Dependent repos count: 21.7%
Maintainers (1)
zzheng93
Last synced: 11 months ago

Dependencies

binder/environment.yml pypi
  • clhs *
docs/docs_require.txt pypi
  • ipython *
  • nbsphinx *
  • numpydoc *
  • sphinx_rtd_theme *
setup.py pypi
  • numpy *
  • pandas *
  • tqdm *