Open-source hyperparameter optimisation framework for tuning machine learning models and experiment search.
Optuna is an open-source hyperparameter optimisation framework for automatically searching model parameters, optimising objective functions and recording trials. It suits model tuning, algorithm comparison, deep learning and research parameter searches.
Use cases: hyperparameter optimisation, machine learning tuning, model search, experiment optimisation, Python modelling
Note: Tune within a proper validation set or cross-validation framework to avoid overfitting the test set.
