Metadata-Version: 2.4
Name: lazytune
Version: 0.1.1
Summary: Fast hyperparameter optimization using screening and pruning
Author: Anik Chand
Project-URL: Homepage, https://github.com/yourusername/lazytune
Project-URL: Repository, https://github.com/yourusername/lazytune
Project-URL: Issues, https://github.com/yourusername/lazytune/issues
Keywords: machine learning,hyperparameter optimization,model tuning,grid search,optimization
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Dynamic: license-file

# LazyTune

LazyTune is a lightweight hyperparameter optimization framework.

It speeds up hyperparameter tuning using:

- parameter screening
- model pruning
- selective full training
