def generate_next_setting(self, hp_setting: HPSetting = None, metric: float = None) -> HPSetting:
if hp_setting is not None:
self.search_space_metric[hp_setting.get_key()] = metric
keys = [key for key in self.search_space_metric if self.search_space_metric[key] is None]
if len(keys) > 0:
next_setting = self.hp_settings[keys[0]]
else:
next_setting = None
return copy.deepcopy(next_setting)
def get_performance(self, hp_setting: HPSetting):
key = hp_setting.get_key()
if key in self.search_space_metric:
return self.search_space_metric[key]
else:
return None
