Factual package intelligence from PyPI

automl-alex 2023.3.11 package intelligence

State-of-the art Automated Machine Learning python library for Tabular Data

pip install automl-alex

Current version
2023.3.11
Python requirement
>=3.8,<3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
69.1 KiB
Release history
35 releases with files
Median release cadence
2 days

automl-alex dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.18,<2.0
  2. pandas >=1.5.3,<2.0.0
  3. scikit-learn >=1.2.2,<2.0.0
  4. seaborn >=0.12.2,<0.13.0
  5. lightgbm >=3.3.5,<4.0.0
  6. catboost >=1.1.1,<2.0.0
  7. xgboost >=1.7.4,<2.0.0
  8. tqdm >=4.65.0,<5.0.0
  9. optuna >=3.1.0,<4.0.0
  10. category-encoders >=2.6.0,<3.0.0
  11. optuna-dashboard >=0.8.1,<0.9.0
  12. loguru >=0.6.0,<0.7.0
  13. psutil >=5.9.4,<6.0.0
  14. nbformat >=5.7.3,<6.0.0

Compatibility and release files

automl-alex publishes 1 wheel and 1 source archive for version 2023.3.11. Wheel platform tags: any.

Declared Python classifiers: 3.10, 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 35 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

1 historical release is fully yanked in PyPI metadata.

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