def _prepare_dataset(self): """Return datasets for the experiment periods containing the total load for a subset of users in the experiment.""" loads = pd.concat(ul.mean_experiment_load_for_user_subset(self._subset_size, self._subset_seed)) return [ul.add_temperatures(loads, period) for period in ul.experiment_periods()]
def _prepare_dataset(self): """Return datasets for the experiment periods containing the total load for all users in the experiment.""" loads = pd.concat(ul.total_experiment_load()) return [ ul.add_temperatures(loads, period) for period in ul.experiment_periods() ]
def _prepare_dataset(self): """Return datasets for the experiment periods containing loads and temperatures for the given dataset.""" loads = ul.tempfeeder_exp()[self.user_id] return [ ul.add_temperatures(loads, period) for period in ul.experiment_periods() ]
def _prepare_dataset(self): """Return datasets for the experiment periods containing the total load for a subset of users in the experiment.""" loads = pd.concat( ul.mean_experiment_load_for_user_subset(self._subset_size, self._subset_seed)) return [ ul.add_temperatures(loads, period) for period in ul.experiment_periods() ]
def _prepare_dataset(self): """Return datasets for the experiment periods containing the total load for all users in the experiment.""" loads = pd.concat(ul.total_experiment_load()) return [ul.add_temperatures(loads, period) for period in ul.experiment_periods()]
def _prepare_dataset(self): """Return datasets for the experiment periods containing loads and temperatures for the given dataset.""" loads = ul.tempfeeder_exp()[self.user_id] return [ul.add_temperatures(loads, period) for period in ul.experiment_periods()]
def setUpClass(cls): cls.data = ul.add_temperatures(ul.total_experiment_load()[0], ul.experiment_periods()[0])