<ul><li>Optuna is an automatic hyperparameter optimisation framework that can be used with scikit-learn and other machine learning and deep learning frameworks.</li><li>Hyperparameter tuning is an important and time-consuming part of the modeling task, and Optuna provides a more efficient way to converge to the best set of hyperparameters.</li><li>The example demonstrates the usage of Optuna with scikit-learn on the MNIST dataset to train a classifier.</li><li>Optuna offers visualizations to analyze the tuning process, such as graphs of trials and objective values, hyperparameter importance, and slice plots.</li></ul>

Tuning scikit-learn hyperparamters using Optuna

Discover more