Great explanations for randomized search!
Could you point some simple resources to use Bayesian search for hyperparameter tuning? It seems that sklearn doesn’t yet support bayesian search. It would be great to have an easy to use interface for such a powerful approach.
The package scikit-optimize is implementing a scikit-learn compatible Bayesian search: scikit-optimize: sequential model-based optimization in Python — scikit-optimize 0.8.1 documentation
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