`cotengra.hyperoptimizers.hyper_choco`#

Hyper optimization using choco.

Module Contents#

Functions#

`convert_param_to_choco`(param)	Convert a single search parameter suitably for `chocolate`.
`get_chocolate_space`(methods, space)	Get the whole search space defined suitably for `chocolate`.
`chocolate_init_optimizers`(self, methods, space[, ...])	Initialize the `chocolate` optimizer.
`chocolate_get_setting`(self)	Find the next parameters to test.
`chocolate_report_result`(self, setting, trial, score)	Report the result of a trial to the `chocolate` optimizer.

cotengra.hyperoptimizers.hyper_choco.convert_param_to_choco(param)[source]#: Convert a single search parameter suitably for chocolate.

cotengra.hyperoptimizers.hyper_choco.get_chocolate_space(methods, space)[source]#: Get the whole search space defined suitably for chocolate.

cotengra.hyperoptimizers.hyper_choco.chocolate_init_optimizers(self, methods, space, sampler='CMAES', sampler_opts=None)[source]#

Initialize the chocolate optimizer.

Parameters:

space (dict[str, dict[str, dict]]) – The search space.
sampler (str, optional) – The optimizer to search the space with, see https://chocolate.readthedocs.io/en/latest/tutorials/algo.html.

cotengra.hyperoptimizers.hyper_choco.chocolate_get_setting(self)[source]#: Find the next parameters to test.

cotengra.hyperoptimizers.hyper_choco.chocolate_report_result(self, setting, trial, score)[source]#: Report the result of a trial to the chocolate optimizer.