Factual package intelligence from PyPI

ruleboost 0.4.0 package intelligence

Efficient interpretable rule ensemble learning via gradient boosting implemented with numba.

pip install ruleboost

Current version
0.4.0
Python requirement
Not declared
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
11.3 KiB
Release history
5 releases with files
Median release cadence
26 days

ruleboost dependencies

PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <2.3,>=2.2.6
  2. scipy <1.16,>=1.15.3
  3. numba <1.0,>=0.61.2
  4. scikit-learn <2.0,>=1.7.0
  5. optikon <0.4,==0.3.0

Compatibility and release files

ruleboost publishes 1 wheel and 1 source archive for version 0.4.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement, project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.