simopt.experiment.post_normalize
================================

.. py:module:: simopt.experiment.post_normalize

.. autoapi-nested-parse::

   Post normalization helper functions.





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

.. py:function:: post_normalize(experiments: list[simopt.experiment.single.ProblemSolver], n_postreps_init_opt: int, crn_across_init_opt: bool = True, proxy_init_val: float | None = None, proxy_opt_val: float | None = None, proxy_opt_x: tuple | None = None, create_pair_pickles: bool = False) -> None

   Constructs objective and normalized progress curves for a set of experiments.

   :param experiments: Problem-solver pairs for different solvers on
                       the same problem.
   :type experiments: list[ProblemSolver]
   :param n_postreps_init_opt: Number of postreplications at initial (x0) and
                               optimal (x*) solutions.
   :type n_postreps_init_opt: int
   :param crn_across_init_opt: If True, use CRN for postreplications at
                               x0 and x*. Defaults to True.
   :type crn_across_init_opt: bool, optional
   :param proxy_init_val: Known objective value of the initial solution.
   :type proxy_init_val: float, optional
   :param proxy_opt_val: Proxy or bound for the optimal objective value.
   :type proxy_opt_val: float, optional
   :param proxy_opt_x: Proxy for the optimal solution.
   :type proxy_opt_x: tuple, optional
   :param create_pair_pickles: If True, create a pickle file for each
                               problem-solver pair. Defaults to False.
   :type create_pair_pickles: bool, optional