sklearn-genetic-opt

Leverage evolutionary algorithms for efficient scikit-learn hyperparameter tuning and robust feature selection.

Sklearn-genetic-opt is your high-performance alternative to standard grid and randomized search methods. The library employs evolutionary algorithms (via the `deap` package) to optimize your scikit-learn model's hyperparameters and features simultaneously. Core components include `GASearchCV` for tuning and `GAFeatureSelectionCV` for feature selection, supporting both regression and classification problems. It also provides essential utilities: custom callbacks for precise control over optimization iterations and built-in plotting functions for visualizing fitness evolution and the search space.

https://sklearn-genetic-opt.readthedocs.io/