Sklearn

These optimizers provide a scikit-learn compatible interface, following the familiar fit/predict pattern used in sklearn’s GridSearchCV and RandomizedSearchCV.

GridSearchSk([param_grid, error_score, ...])	Grid search optimizer, with backend selection and sklearn style parameter grid.
RandomSearchSk([param_distributions, ...])	Random search optimizer leveraging sklearn's ParameterSampler.