Factual package intelligence from PyPI

featureranker 2.0.0 package intelligence

Feature ranking ensemble using L1 penalization, random forests, XGBoost, ANOVA F-scores, and mutual information

pip install featureranker

Current version
2.0.0
Python requirement
>=3.9
License
CC-BY-NC-SA-4.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
38.2 KiB
Release history
10 releases with files
Median release cadence
19 days

featureranker dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. joblib >=1.2.0
  2. matplotlib >=3.7.0
  3. numpy >=1.24.0
  4. pandas >=2.0.0
  5. scikit-learn >=1.3.0
  6. scipy >=1.10.0
  7. seaborn >=0.12.0
  8. xgboost >=1.7.0

Compatibility and release files

featureranker publishes 1 wheel and 1 source archive for version 2.0.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.

Release activity and sources

PyPI lists 10 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 .