Factual package intelligence from PyPI

SHFS 0.1.5 package intelligence

Feature election group of classes calculate the importance of features based on the Shap library for the classification and regression problem Only works with randomforest models for efficiency or gradient boosting models. DFwrapper - remove multicollinearity and outliers

pip install shfs

Current version
0.1.5
Python requirement
>=3.6
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
16.9 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

SHFS dependencies

PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas
  2. numpy
  3. scikit-learn ==1.0.1

Compatibility and release files

SHFS publishes 1 wheel and 1 source archive for version 0.1.5. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 1 release 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 .