Exploring scikit-optimize
You were introduced to the Scikit-Optimize package in Chapter 7, Hyperparameter Tuning via Scikit, to conduct a hyperparameter tuning experiment. In this section, we will learn how to utilize this package to track all hyperparameter tuning experiments conducted using this package.
Scikit-Optimize provides very nice visualization plots that summarize the tested hyperparameter values, the objective function scores, and the relationship between them. Three plots are available in this package, as shown here. Please see the full code in this book’s GitHub repository for more details. The following plots were generated based on the same experimental setup that was provided in Chapter 7, Hyperparameter Tuning via Scikit, for the BOGP hyperparameter tuning method:
plot_convergence
: This is used to visualize the hyperparameter tuning optimization progress for each iteration:
Figure 13.7 – Convergence plot
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