scikit-learn
diff --git a/‎sklearn/gaussian_process/_gpr.py
Copy file name to clipboardExpand all lines: sklearn/gaussian_process/_gpr.py
+2-2Lines changed: 2 additions & 2 deletions b/‎sklearn/gaussian_process/_gpr.py
Copy file name to clipboardExpand all lines: sklearn/gaussian_process/_gpr.py
+2-2Lines changed: 2 additions & 2 deletions
@@ -384,15 +384,15 @@ def predict(self, X, return_std=False, return_cov=False):
         Returns
         -------
         y_mean : ndarray of shape (n_samples,) or (n_samples, n_targets)
-            Mean of predictive distribution a query points.
+            Mean of predictive distribution at query points.
 
         y_std : ndarray of shape (n_samples,) or (n_samples, n_targets), optional
             Standard deviation of predictive distribution at query points.
             Only returned when `return_std` is True.
 
         y_cov : ndarray of shape (n_samples, n_samples) or \
                 (n_samples, n_samples, n_targets), optional
-            Covariance of joint predictive distribution a query points.
+            Covariance of joint predictive distribution at query points.
             Only returned when `return_cov` is True.
         """
         if return_std and return_cov: