def _prepare_dataset(self):
     """Return datasets for the experiment periods containing loads and
     temperatures for the given user, or for all users in the experiment if
     total_load is True."""
     temps = read_temperatures()
     loads = ul.tempfeeder_exp()[self.user_id]
     return [self._join_temp_and_load(temps, 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."""
     print "Using total load rather than per-user load."
     temps = read_temperatures()
     loads = pd.concat(ul.total_experiment_load())
     return [self._join_temp_and_load(temps, loads, period) 
             for period in ul.experiment_periods()]
示例#3
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 def _prepare_dataset(self):
     """Return datasets for the experiment periods containing loads and
     temperatures for the given user, or for all users in the experiment if
     total_load is True."""
     temps = read_temperatures()
     loads = ul.tempfeeder_exp()[self.user_id]
     return [
         self._join_temp_and_load(temps, loads, period)
         for period in ul.experiment_periods()
     ]
示例#4
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 def _prepare_dataset(self):
     """Return datasets for the experiment periods containing the total load
     for all users in the experiment."""
     print "Using total load rather than per-user load."
     temps = read_temperatures()
     loads = pd.concat(ul.total_experiment_load())
     return [
         self._join_temp_and_load(temps, loads, period)
         for period in ul.experiment_periods()
     ]