Factual package intelligence from PyPI

autotuner 0.1.1 package intelligence

Automated hyper-parameter tuning for scikit-learn estimators using optuna.

pip install autotuner

Current version
0.1.1
Python requirement
<4.0,>=3.11
License
BSD 3-Clause License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
36.0 KiB
Release history
2 releases with files
Median release cadence
4 days

autotuner dependencies

PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. optuna <4.0.0,>=3.6.1
  2. optuna-integration <4.0.0,>=3.6.0
  3. numpy <2.0.0,>=1.26.4
  4. scikit-learn <2.0.0,>=1.5.0
  5. pandas <3.0.0,>=2.2.2

Compatibility and release files

autotuner publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12.

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 .