Factual package intelligence from PyPI

kanboost 1.2.2 package intelligence

Gradient boosting with Kolmogorov-Arnold Network (KAN) learners -- an interpretable alternative to tree-based boosting (XGBoost/LightGBM/CatBoost).

pip install kanboost

Current version
1.2.2
Python requirement
>=3.10
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
264.5 KiB
Release history
27 releases with files
Median release cadence
0 days

kanboost dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.0
  2. numpy >=1.24
  3. pandas >=1.5
  4. scikit-learn >=1.3
  5. scipy >=1.10
  6. sympy >=1.12
  7. pyyaml >=5.1
  8. matplotlib >=3.5
  9. tqdm >=4.60

The compact report shows 12 of 17 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

kanboost publishes 1 wheel and 1 source archive for version 1.2.2. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for kanboost 1.2.2

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 27 releases with files. The first dated release is ; 27 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .