jayzed82
diff --git a/‎doc/modules/calibration.rst
+2-2 b/‎doc/modules/calibration.rst
+2-2
@@ -126,7 +126,7 @@ that has the highest probability.
 
 Alternatively an already fitted classifier can be calibrated by setting
 `cv="prefit"`. In this case, the data is not split and all of it is used to
-fit the regressor. It is up to the user
+fit the regressor. It is up to the user to
 make sure that the data used for fitting the classifier is disjoint from the
 data used for fitting the regressor.
 
@@ -243,4 +243,4 @@ one, a postprocessing is performed to normalize them.
     .. [6] `Beyond sigmoids: How to obtain well-calibrated probabilities from
            binary classifiers with beta calibration
            <https://projecteuclid.org/euclid.ejs/1513306867>`_
-           Kull, M., Silva Filho, T. M., & Flach, P. (2017).
+           Kull, M., Silva Filho, T. M., & Flach, P. (2017).