Random local search over a set of permissible values #374
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HenrikMettler
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(CI-check fail seems like an unrelated mypy issue) |
jakobj
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Dec 6, 2022
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great stuff, thanks for working on this! 🚀
I left a few comments, please address them before we merge this
| objective: Callable, | ||
| seed: int, | ||
| n_steps: int = 10, # todo: should this be dependent on the number of parameters? | ||
| permissible_values: np.ndarray = np.logspace(start=0, stop=7, num=8, base=2, dtype=int), |
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in the current implementation, is it, for example, possible to say "parameters should be uniformly sampled in the interval [0, 1]"? if not, I think it would be a good idea to make the generation of permissible values modular to support such use cases
| params=params_sampled, params_names=params_names | ||
| ) | ||
| # evaluate fitness | ||
| self.objective(new_ind) |
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as discussed, the local-search objective should not modify individuals but return a fitness value
| ind.fitness = new_ind.fitness | ||
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| if __name__ == "__main__": |
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the rest should be moved into a test I guess ;)
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Addresses #373. This is based on an implementation I used in a project with hal-cgp, thus the default values for
permissible-values. There is two open questions, marked as todo in the code comments.For convenience i put a short example at the end. I can extend this to a full example before merging or remove it.