scikit-feature is an open-source (GNU General Public License v2.0) feature selection repository in Python developed by Data Mining and Machine Learning Lab at Arizona State University.
It serves as a platform for facilitating feature selection application, research and comparative study. It is designed to share widely used feature selection algorithms developed in the feature selection research, and offer convenience for researchers and practitioners to perform empirical evaluation in developing new feature selection algorithms.
This is may or may not be a temporary fork of the original repository as development seems to have stalled and various modules have be depreciated due to updates to scikit-learn. I will see if should get reintegrated back into the original project if it ever gets revived again.
Forked project information
- Project site - https://github.com/NoRaincheck/scikit-feature
- Documentation - ./index.html (open locally via
make serve-docs)
Original scikit-feature project information
- Project site - https://github.com/jundongl/scikit-feature
- Documentation - http://featureselection.asu.edu/
Installation
From Sources
- Unpack the source package somewhere
- Run
pip install -e .from the source distribution's top level folder
From pip
pip install skfeature-chappers
Running the Documentation Locally
To view documentation locally:
make serve-docs
# Then open http://localhost:8080 in your browser
1 maintainer
Metadata
1 maintainer
Release files for skfeature-chappers 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| skfeature_chappers-1.2.1.tar.gz | 44.6 kB | With provenance | Details for skfeature_chappers-1.2.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| skfeature_chappers-1.2.1-py3-none-any.whl | Python 3 | none | any | Details for skfeature_chappers-1.2.1-py3-none-any.whl |
Total release size: 112.0 kB
Release files / skfeature_chappers-1.2.1.tar.gz
| Download URL | skfeature_chappers-1.2.1.tar.gz |
|---|---|
| Size | 44.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
61526c9adf406039c99976a8a6feae54dfdae7c3543e236746ece51dbdb67979
|
|
BLAKE2b-256 checksum How to use checksums |
2c499f21f41b7d693b17eed444d306d01693f2d99e65000af3b5ed8ec987d05e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 18, 2026.
Transparency logRelease files / skfeature_chappers-1.2.1-py3-none-any.whl
| Download URL | skfeature_chappers-1.2.1-py3-none-any.whl |
|---|---|
| Size | 67.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
74774ca86af338fa7b7ad5bfab7360d55ca9751cd9a0ae04b09ce91d619b3637
|
|
BLAKE2b-256 checksum How to use checksums |
25fd8f8c97842f9f4b469a0824088e6053456fd7f98f66bc19617508c6f5954f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 18, 2026.
Transparency logSecurity for skfeature-chappers 1.2.1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for skfeature_chappers-1.2.1.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 18, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
