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 : 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