Factual package intelligence from PyPI

gbmframework 0.2.16 package intelligence

A unified framework for Gradient Boosting Models with SHAP analysis

pip install gbmframework

Current version
0.2.16
Python requirement
>=3.7
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
90.7 KiB
Release history
12 releases with files
Median release cadence
0 days

gbmframework dependencies

PyPI declares 28 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.20.0
  2. pandas >=1.3.0
  3. scikit-learn >=1.0.0
  4. matplotlib >=3.4.0
  5. seaborn >=0.11.0
  6. hyperopt >=0.2.7
  7. joblib >=1.1.0
  8. tqdm >=4.62.0
  9. psutil >=5.9.0

The compact report shows 25 of 28 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

gbmframework publishes 1 wheel and 1 source archive for version 0.2.16. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 12 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .