Factual package intelligence from PyPI

tune-easy 0.2.1 package intelligence

tune-easy: A hyperparameter tuning tool, extremely easy to use.

pip install tune-easy

Current version
0.2.1
Python requirement
>=3.6
License
BSD 3-Clause
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
95.5 KiB
Release history
2 releases with files
Median release cadence
3 days

tune-easy dependencies

PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. scikit-learn >=0.24.2
  2. matplotlib >=3.3.4
  3. seaborn >=0.11.0
  4. numpy >=1.20.3
  5. pandas >=1.2.4
  6. optuna >=2.7.0
  7. bayesian-optimization >=1.2.0
  8. mlflow >=1.17.0
  9. lightgbm >=3.3.2
  10. xgboost >=1.4.2
  11. seaborn-analyzer >=0.2.11

Compatibility and release files

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

Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .