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HyperOpt: Hyperparameter Tuning based on Bayesian Optimization

An alternative for the optimization of functions as well as hyperparameters of Machine Learning pipelines.

Figure 1. A representative architecture of HyperOpt | Image by author | Icons taken from Vitaly Gorbachev, Freepick

Finding the optimal hyperparameter configuration for a given function should not be based entirely on intuition or the…