What are the advanced features of scikit-optimize?
Scikit-optimize offers advanced features like Bayesian optimization, support for custom acquisition functions, and parallel optimization.
Can you explain how Bayesian optimization works in scikit-optimize?
Bayesian optimization uses a probabilistic model to find the minimum of a function by balancing exploration and exploitation.
What are acquisition functions, and how can I customize them?
Acquisition functions guide the search for optimal parameters. You can customize them by defining your own function based on your needs.
Is it possible to run optimizations in parallel with scikit-optimize?
Yes, scikit-optimize supports parallel optimization, allowing you to speed up the search process by evaluating multiple points simultaneously.
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