biophysics_fitting ❭ optimizer ❭ get_mymap

get_mymap

biophysics_fitting.optimizer.get_mymap(db_setup, db_run, c, satisfactory_boundary_dict=None, n_reschedule_on_runtime_error=3)

Get a map function for evaluating the parameters.

This function is a hook into BluePyOpt’s optimization. It is used as a mapping function in bluepyopt.optimisations.DEAPOptimisation during start_run(). Rather than just returning the combined objectives, it also saves the features and the objectives in the database. This is useful for debugging and for analyzing the optimization results.

Parameters:

  • db_setup ( – py:class:`~data_base.DataBase): Database containing the setup of the optimization.

  • db_run (DataBase) – The database for the optimization run containing sub-databases.

  • c (Client) – The distributed client.

  • satisfactory_boundary_dict (dict | None) – A dictionary with the boundaries for the objectives. If a model is found, that has all objectives below the boundary, the optimization is stopped.

  • n_reschedule_on_runtime_error (int) – The number of times the optimization is rescheduled if a runtime error occurs.

Returns:

The map function for evaluating the parameters. this function is passed to the bluepyopt.optimisations.DEAPOptimisation object.

Return type:

Callable