Factual package intelligence from PyPI

hybridgbrf 1.0.0 package intelligence

Gradient Boosted Random Forest - A hybrid ML algorithm

pip install hybridgbrf

Current version
1.0.0
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
24.8 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

hybridgbrf dependencies

PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21.0
  2. scikit-learn >=1.0.0
  3. joblib >=1.1.0
  4. pandas >=1.3.0
  5. matplotlib >=3.4.0

Compatibility and release files

hybridgbrf publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.

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

Security snapshot for hybridgbrf 1.0.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

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 .