Factual package intelligence from PyPI

ml-feature-selector 0.1.3 package intelligence

This package provides code for optimal feature selection using forward and backward wrapper-based methods. It also generates an Excel report that captures each step and result of the feature selection process, offering clear insights and explanations of the selected features.

pip install ml-feature-selector

Current version
0.1.3
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
17.9 KiB
Release history
2 releases with files
Median release cadence
0 days

ml-feature-selector dependencies

PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scikit-learn >=1.5.1
  2. numpy >=1.26.4
  3. pandas >=2.2.2
  4. openpyxl >=3.1.2

Compatibility and release files

ml-feature-selector publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.