optiHistoric

Module Contents

Classes

class OptiHistoric(optiname='opti', autosave_timer=60 * 5, autosave=True, create_new_directory=True, performance_datastruct=True, folder=getPath_workspace())

Contains all the points that have been evaluated

class _pointData(currTime, objectives, constraints)

class _LogParams

add_parameters(params)

get_rows_indices(list_of_params)

log_after_evaluation(returned_values: dict)

Save the output of evaluate to optiHistoric. This function should be called by the optimizer IN a process safe context.

set_results(devicesList)

get_best_devices_without_reevaluating(list_of_best_params)

set_convergence(theConvergence)

save()

get_convergence()

Returns:convergence InterfaceConvergence

get_devices()

Returns:List of devices (ordered by evaluation number)

get_logopti()

Returns:Log optimization (to check the convergence)

start(optimization_parameters)

Function called upon starting the optimization. Create folders.

class OptiHistoric_Fast(optiname='opti')

Almost empty struct, just enough to display the graphs. Used to speed up optimization

log_after_evaluation(returned_values: dict)

set_results(theResults)

get_best_devices_without_reevaluating(_)

set_convergence(theConvergence)

save()

get_convergence()

get_devices()

get_logopti()

start(optimization_parameters)

class OptiHistoric_Empty

Totally empty struct, cannot be used within visualization

log_after_evaluation(returned_values: dict)

set_results(theResults)

get_best_devices_without_reevaluating(_)

set_convergence(_)

save()

get_convergence()

get_devices()

get_logopti()

start(_)