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sklearn-genetic

Genetic feature selection module for scikit-learn

https://github.com/manuel-calzolari/sklearn-genetic

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
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    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.6%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

Genetic feature selection module for scikit-learn

Basic Info
Statistics
  • Stars: 322
  • Watchers: 10
  • Forks: 77
  • Open Issues: 10
  • Releases: 8
Created almost 10 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Citation

README.rst 

.. -*- mode: rst -*-

|PyPi|_ |Conda|_ |ReadTheDocs|_

.. |PyPi| image:: https://img.shields.io/pypi/v/sklearn-genetic?style=flat-square
.. _PyPi: https://pypi.org/project/sklearn-genetic

.. |Conda| image:: https://img.shields.io/conda/v/conda-forge/sklearn-genetic?style=flat-square
.. _Conda: https://anaconda.org/conda-forge/sklearn-genetic

.. |ReadTheDocs| image:: https://readthedocs.org/projects/sklearn-genetic/badge/?version=latest&style=flat-square
.. _ReadTheDocs: https://sklearn-genetic.readthedocs.io/en/latest/?badge=latest

***************
sklearn-genetic
***************

**sklearn-genetic** is a genetic feature selection module for scikit-learn.

Genetic algorithms mimic the process of natural selection to search for optimal values of a function.

Installation
============

Dependencies
------------

sklearn-genetic requires:

- Python (>= 3.7)
- scikit-learn (>= 1.0)
- deap (>= 1.0.2)
- numpy
- multiprocess

User installation
-----------------

The easiest way to install sklearn-genetic is using :code:`pip`

.. code:: bash

    pip install sklearn-genetic

or :code:`conda`

.. code:: bash

    conda install -c conda-forge sklearn-genetic

Documentation
=============

Installation documentation, API reference and examples can be found on the `documentation `_.

See also
========

- `shapicant `_, a feature selection package based on SHAP and target permutation, for pandas and Spark

Owner

  • Name: Manuel Calzolari
  • Login: manuel-calzolari
  • Kind: user
  • Location: Italy

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Calzolari"
  given-names: "Manuel"
  orcid: "https://orcid.org/0000-0002-4625-4888"
title: "sklearn-genetic"
version: 0.6.0
doi: 10.5281/zenodo.10539898
date-released: 2024-01-20
url: "https://github.com/manuel-calzolari/sklearn-genetic"

GitHub Events

Total
  • Issues event: 1
  • Watch event: 5
  • Issue comment event: 6
  • Pull request event: 2
  • Fork event: 1
Last Year
  • Issues event: 1
  • Watch event: 5
  • Issue comment event: 6
  • Pull request event: 2
  • Fork event: 1

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 64
  • Total Committers: 6
  • Avg Commits per committer: 10.667
  • Development Distribution Score (DDS): 0.094
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Manuel Calzolari m****i@g****m 58
Manuel Calzolari M****i 2
jmoore52 j****r@g****m 1
Alessandro Torcinovich t****v@g****m 1
Manuel Calzolari m****i@b****m 1
Damian Kucharski c****i@g****m 1
Committer Domains (Top 20 + Academic)
btoresearch.com: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 37
  • Total pull requests: 12
  • Average time to close issues: 5 months
  • Average time to close pull requests: 2 months
  • Total issue authors: 33
  • Total pull request authors: 10
  • Average comments per issue: 2.97
  • Average comments per pull request: 1.92
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 1
Past Year
  • Issues: 1
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • RNarayan73 (3)
  • Sandy4321 (2)
  • john-sandall (2)
  • musicinmybrain (1)
  • GillesVandewiele (1)
  • pmoradifar (1)
  • nsandau (1)
  • talha33 (1)
  • detrin (1)
  • nightvision04 (1)
  • caiocarvalho (1)
  • azuric (1)
  • quancore (1)
  • gsk1692 (1)
  • MichelleKuroda (1)
Pull Request Authors
  • musicinmybrain (2)
  • dependabot[bot] (2)
  • jckkvs (2)
  • john-sandall (2)
  • aretor (1)
  • damiankucharski (1)
  • stratakis (1)
  • jvdd (1)
  • jmoore52 (1)
  • detrin (1)
Top Labels
Issue Labels
Pull Request Labels
dependencies (2)

Packages

  • Total packages: 2
  • Total downloads:
    • pypi 2,202 last-month
  • Total dependent packages: 0
    (may contain duplicates)
  • Total dependent repositories: 5
    (may contain duplicates)
  • Total versions: 12
  • Total maintainers: 1
pypi.org: sklearn-genetic

Genetic feature selection module for scikit-learn

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 5
  • Downloads: 2,202 Last month
Rankings
Stargazers count: 3.7%
Downloads: 4.1%
Forks count: 5.0%
Average: 5.9%
Dependent repos count: 6.6%
Dependent packages count: 10.0%
Maintainers (1)
manuel.calzolari
Last synced: 8 months ago
conda-forge.org: sklearn-genetic
  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Forks count: 20.5%
Stargazers count: 21.5%
Average: 31.8%
Dependent repos count: 34.0%
Dependent packages count: 51.2%
Last synced: 8 months ago

Dependencies

requirements.txt pypi
  • deap >=1.0.2
  • multiprocess *
  • numpy *
  • scikit-learn >=0.23
setup.py pypi
  • deap >=1.0.2
  • multiprocess *
  • numpy *
  • scikit-learn >=0.23
docs/source/requirements.txt pypi
  • readthedocs-sphinx-search ==0.3.2
  • sphinx ==5.3.0
  • sphinx_rtd_theme ==1.1.1