> A number of generic parameter search functions are available in
> scipy.optimize, including simulated annealing. To wrap them in a
> scikit-learn interface is fairly trivial. If you are talking about model
> selection using simulated annealing, I once wrote a GridSearchCV-like
> extension that could use an arbitrary scipy.optimize minimizer over
> scikit-learn estimator [hyper] parameters, where continuous real numbers.
> Is that the sort of thing you are looking for?
>
Interesting. How was the accuracy?
Mathieu
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