:py:mod:`cotengra.hyperoptimizers.hyper_skopt`
==============================================

.. py:module:: cotengra.hyperoptimizers.hyper_skopt

.. autoapi-nested-parse::

   Hyper optimization using scikit-optimize.



Module Contents
---------------


Functions
~~~~~~~~~

.. autoapisummary::

   cotengra.hyperoptimizers.hyper_skopt.convert_param_to_skopt
   cotengra.hyperoptimizers.hyper_skopt.get_methods_space
   cotengra.hyperoptimizers.hyper_skopt.convert_to_skopt_space
   cotengra.hyperoptimizers.hyper_skopt.skopt_init_optimizers
   cotengra.hyperoptimizers.hyper_skopt.skopt_get_setting
   cotengra.hyperoptimizers.hyper_skopt.skopt_report_result



.. py:function:: convert_param_to_skopt(param, name)


.. py:function:: get_methods_space(methods)


.. py:function:: convert_to_skopt_space(method, space)


.. py:function:: skopt_init_optimizers(self, methods, space, sampler='et', method_sampler='et', sampler_opts=None, method_sampler_opts=None)

   Initialize the ``skopt`` optimizer.

   :param space: The search space.
   :type space: dict[str, dict[str, dict]]
   :param sampler: 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
                   .
   :type sampler: str, optional
   :param method_sampler: Meta-optimizer to use to select which overall method to use.
   :type method_sampler: str, optional


.. py:function:: skopt_get_setting(self)

   Find the next parameters to test.


.. py:function:: skopt_report_result(self, setting, trial, score)

   Report the result of a trial to the ``chocolate`` optimizer.