Factual package intelligence from PyPI

automac 0.1.2 package intelligence

An all-in-one automated ML pipeline for advanced feature engineering, Boruta selection, and parallel optimization.

pip install automac

Current version
0.1.2
Python requirement
>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
29.1 KiB
Release history
3 releases with files
Median release cadence
11 days

automac dependencies

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

  1. pandas
  2. numpy
  3. scikit-learn >=1.0
  4. category_encoders
  5. optuna
  6. catboost
  7. xgboost
  8. lightgbm
  9. boruta
  10. plotly
  11. kaleido
  12. openpyxl
  13. matplotlib
  14. seaborn

Compatibility and release files

automac publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.

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

Release activity and sources

PyPI lists 3 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 .