def run(self, number_of_repetitions=None,
reassign_test_training=False,
regenerate_sets=False):
"""
:param number_of_repetitions:
:param reassign_test_training:
:param regenerate_sets:
:return:
"""
if not (number_of_repetitions):
number_of_repetitions = self.repetitions
# Repeat experiment number_of_repetitions time
for i in range(number_of_repetitions):
rep_start = time()
rep_start_date = gen_datestr()
print(f'Running repetition #{i+1} ', end='')
current_results = self._single_run()
# Write from indexes returned from the single run
for column in current_results.index:
# Write results of current run to experimemnt results
self.results.loc[i, column] = current_results[column]
# Add repetition time to results
rep_time = sec_to_time(time() - rep_start)
self.results.loc[i, 'run_time'] = rep_time
rep_end_date = gen_datestr()
print(
f' | DONE! Started at {rep_start_date}, finished at {rep_end_date}, took {rep_time}')
self.rep_times.append(rep_time)
self.last_run_time = sec_to_time(time() - self._experiment_start_time)
# Set up the experiment
experiment = Experiment(stimuli_creation_params=stimuli_creation_params,
model=model_params,
training_params=training_params,
origin_transform_function=origin_transform_function,
origin_transform_params=origin_transform_params,
set_transform_function=set_transform_function,
set_transform_params=set_transform_params,
repetitions=number_of_repetitions)
# Run the experiment
experiment.run()
# Saving all experiment data
experiment.save(report_folder, condition_name)
# Save backup copy of this file
with open(__file__, 'r') as file:
this_file = file.read()
with open(path.join(report_folder, f'{condition_name}experiment_template.py'),
'w') as template_file:
template_file.write(this_file)
template_file.close()
# %% Report finish
end_time = time()
runtime = sec_to_time(end_time - start_time)
end_date = gen_datestr()
print(
f"EXPERIMENT FINISHED:\n\tStarted: {start_date}\n\tEnded: {end_date}\n\tTook: {runtime}"
)
