Factual package intelligence from PyPI
This versatile tool streamlines hyperparameter optimization in machine learning workflows.It supports a wide range of search methods, from GridSearchCV and RandomizedSearchCVto advanced techniques like OptunaSearchCV, Ray Tune, and Scikit-Learn Tune.Designed to enhance model perf
pip install lohrasb
PyPI declares 150 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 25 of 150 declarations. The interactive dependency graph loads the complete metadata.
lohrasb publishes 1 wheel and 1 source archive for version 4.2.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI does not currently declare: Python requirement, project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 21 releases with files. The first dated release is ; 15 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.