diff --git a/pvnet/models/base_model.py b/pvnet/models/base_model.py
index 5f59400f..e9ebee20 100644
--- a/pvnet/models/base_model.py
+++ b/pvnet/models/base_model.py
@@ -299,17 +299,16 @@ def __init__(
         self._accumulated_metrics = MetricAccumulator()
         self._accumulated_batches = BatchAccumulator(key_to_keep=self._target_key_name)
         self._accumulated_y_hat = PredAccumulator()
-        
+
         # Store whether the model should use quantile regression or simply predict the mean
         self.use_quantile_regression = self.output_quantiles is not None
-        
+
         # Store the number of ouput features that the model should predict for
         if self.use_quantile_regression:
             self.num_output_features = self.forecast_len * len(self.output_quantiles)
         else:
             self.num_output_features = self.forecast_len
 
-
     def _quantiles_to_prediction(self, y_quantiles):
         """
         Convert network prediction into a point prediction.