cotengra.hyperoptimizers.hyper_skopt¶

Hyper optimization using scikit-optimize.

Functions¶

`convert_param_to_skopt`(param, name)
`get_methods_space`(methods)
`convert_to_skopt_space`(method, space)
`skopt_init_optimizers`(self, methods, space[, sampler, ...])	Initialize the `skopt` optimizer.
`skopt_get_setting`(self)	Find the next parameters to test.
`skopt_report_result`(self, setting, trial, score)	Report the result of a trial to the `chocolate` optimizer.

Module Contents¶

cotengra.hyperoptimizers.hyper_skopt.convert_param_to_skopt(param, name)[source]¶

cotengra.hyperoptimizers.hyper_skopt.get_methods_space(methods)[source]¶

cotengra.hyperoptimizers.hyper_skopt.convert_to_skopt_space(method, space)[source]¶

cotengra.hyperoptimizers.hyper_skopt.skopt_init_optimizers(self, methods, space, sampler='et', method_sampler='et', sampler_opts=None, method_sampler_opts=None)[source]¶

Initialize the skopt optimizer.

Parameters:

space (dict[str, dict[str, dict]]) – The search space.
sampler (str, optional) – The regressor to use to optimize each method’s search space, see https://scikit-optimize.github.io/stable/modules/generated/skopt.Optimizer.html#skopt.Optimizer .
method_sampler (str, optional) – Meta-optimizer to use to select which overall method to use.

cotengra.hyperoptimizers.hyper_skopt.skopt_get_setting(self)[source]¶: Find the next parameters to test.

cotengra.hyperoptimizers.hyper_skopt.skopt_report_result(self, setting, trial, score)[source]¶: Report the result of a trial to the chocolate optimizer.