cotengra.hyperoptimizers.hyper_skopt

Hyper optimization using scikit-optimize.

Module Contents

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.

cotengra.hyperoptimizers.hyper_skopt.convert_param_to_skopt(param, name)

cotengra.hyperoptimizers.hyper_skopt.get_methods_space(methods)

cotengra.hyperoptimizers.hyper_skopt.convert_to_skopt_space(method, space)

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

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)

Find the next parameters to test.

cotengra.hyperoptimizers.hyper_skopt.skopt_report_result(self, setting, trial, score)

Report the result of a trial to the chocolate optimizer.