DOC clarify StratifiedShuffleSplit supports 2d y
@@ -1713,7 +1713,7 @@ class StratifiedShuffleSplit(BaseShuffleSplit):
hence ``np.zeros(n_samples)`` may be used as a placeholder for
``X`` instead of actual training data.
- y : array-like, shape (n_samples,)
+ y : array-like, shape (n_samples,) or (n_samples, n_labels)
The target variable for supervised learning problems.
Stratification is done based on the y labels.
