Factual package intelligence from PyPI

autoxgbAUC 2.1.0 package intelligence

xgbauto: tuning xgboost with optuna, autoxgb with aucpr for binary classification

pip install autoxgbauc

Current version
2.1.0
Python requirement
>=3.6
License
Apache 2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
38.5 KiB
Release history
4 releases with files
Median release cadence
0 days

autoxgbAUC dependencies

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

  1. fastapi ==0.70.0
  2. numpy ==1.21.3
  3. optuna ==2.10.0
  4. pyarrow ==6.0.0
  5. pydantic ==1.8.2
  6. joblib ==1.2.0
  7. pandas ==1.3.4
  8. scikit-learn ==1.0.1
  9. uvicorn ==0.15.0
  10. xgboost ==1.5.0

Compatibility and release files

autoxgbAUC publishes 1 wheel and 1 source archive for version 2.1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .