Hyperparameter tuning for custom strategies#329
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benvanwerkhoven merged 290 commits intomasterfrom Sep 3, 2025
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…selection support
…id and evaluated configurations
…d mixed parameter values
…ategies that require only numerics
…numeric parameter values
… parameter lookup
…it to hyperparameter tuning CLI
…emi) constraint-aware
…ices of the parameter values
…merical values are replaced with their index
…numerical configuration
…he discrete constraint search spaces
…to the parameter indices of the given configuration
…izes where possible for numpy arrays
Adding default costfunc kwargs to allow LlaMEA to generate algorithms without these settings.
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This PR combines the hyperparameter tuning with the constrained optimization algorithms, new differential evolution implementation, and support for custom strategies and hyperparameter tuning thereof. It also brings updated hyperparameter defaults after extensive tuning.
In addition, it brings several performance improvements to the handling and lookup of neighbors in the search space:
This pull request encompasses the following pull requests: