Factual package intelligence from PyPI

cyclic-boosting 1.4.0 package intelligence

Implementation of Cyclic Boosting machine learning algorithms

pip install cyclic-boosting

Current version
1.4.0
Python requirement
>=3.8,<3.12
License
Eclipse Public License 2.0 (EPL-2.0)
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
205.8 KiB
Release history
19 releases with files
Median release cadence
10 days

cyclic-boosting dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. decorator >=5.1.1
  2. hypothesis >=6.70.0
  3. matplotlib >=1.5.1
  4. numba >=0.56.4
  5. numexpr >=2.5.2
  6. numpy >=1.12.1
  7. pandas >=0.20.3
  8. scikit-learn >=0.18.2
  9. scipy >=1.10
  10. six >=1.16.0

Compatibility and release files

cyclic-boosting publishes 1 wheel and 1 source archive for version 1.4.0. Wheel platform tags: any.

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

Metadata completeness

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

Release activity and sources

PyPI lists 19 releases with files. The first dated release is ; 18 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.