diff --git a/openstef/model/regressors/linear_quantile.py b/openstef/model/regressors/linear_quantile.py
index fa83970f..aa4fc57d 100644
--- a/openstef/model/regressors/linear_quantile.py
+++ b/openstef/model/regressors/linear_quantile.py
@@ -206,9 +206,10 @@ def fit(self, x: pd.DataFrame, y: pd.Series, **kwargs) -> RegressorMixin:
         return self
 
     def _calculate_sample_weights(self, y: np.array):
-        """Calculate sample weights based on the y values of arbitrary scale. The resulting weights are in the range.
+        """Calculate sample weights based on the y values of arbitrary scale.
 
-        [0,1] and are used to put more emphasis on certain samples. The sample weighting function does:
+        The resulting weights are in the range [0,1] and are used to put more emphasis
+        on certain samples. The sample weighting function does:
 
         * Rescale data to a [-1, 1] range using quantile scaling. 90% of the data will
           be within this range. Rest is outside.