Factual package intelligence from PyPI

automl-lite 0.2.1 package intelligence

A simplified automated machine learning package with Neural Architecture Search for non-experts

pip install automl-lite

Current version
0.2.1
Python requirement
>=3.8
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
363.4 KiB
Release history
4 releases with files
Median release cadence
7 days

automl-lite dependencies

PyPI declares 32 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21.0
  2. pandas >=1.3.0
  3. scikit-learn >=1.0.0
  4. optuna >=3.0.0
  5. shap >=0.41.0
  6. matplotlib >=3.5.0
  7. seaborn >=0.11.0
  8. joblib >=1.1.0
  9. plotly >=5.0.0
  10. jinja2 >=3.0.0
  11. tqdm >=4.62.0
  12. scipy >=1.7.0

The compact report shows 12 of 32 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

automl-lite publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

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 .