Factual package intelligence from PyPI

cv-score-predict 0.2.8 package intelligence

Cross-validated ensemble prediction with LGBM, XGBoost, and CatBoost — with safe categorical handling, multi-seed averaging, and artifact return.

pip install cv-score-predict

Current version
0.2.8
Python requirement
>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
32.6 KiB
Release history
16 releases with files
Median release cadence
2 days

cv-score-predict dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.24
  2. pandas >=2.0
  3. scikit-learn >=1.4
  4. lightgbm >=4.0
  5. xgboost >=2.0
  6. catboost >=1.2

Compatibility and release files

cv-score-predict publishes 1 wheel and 1 source archive for version 0.2.8. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for cv-score-predict 0.2.8

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 16 releases with files. The first dated release is ; 16 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .