Factual package intelligence from PyPI

ksfeatureselector 0.3.0 package intelligence

Scikit-learn compatible feature selection for binary and multi-class classification using the Kolmogorov-Smirnov (K-S) test, with pairwise / one-vs-rest comparison and Fisher / min / max p-value aggregation.

pip install ksfeatureselector

Current version
0.3.0
Python requirement
>=3.9
License
BSD-3-Clause
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
17.9 KiB
Release history
4 releases with files
Median release cadence
1 days

ksfeatureselector dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21
  2. scipy >=1.7
  3. scikit-learn >=1.6
  4. pandas >=1.3

Compatibility and release files

ksfeatureselector publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .