Hyperopt-Sklearn

Hyperopt-Sklearn (Hyperparameter optimization for Sklearn) is a Python library for hyperparameter-optimization-based model selection among machine learning algorithms in the Scikit-learn package. The main goal of Hyperopt-Sklearn is to automate and ease the process of hyperparameter tuning for machine learning models. It utilizes Bayesian optimization techniques to decrease the complexity of hyperparameter tuning and speed up the optimization process. It is a valuable tool for tuning hyperparameters and improving performance of Scikit-learn models without manual intervention.

Link: https://hyperopt.github.io/hyperopt-sklearn/