DOC Follow docs guidelines for shape in nan_euclidean_distances
@@ -414,7 +414,7 @@ def nan_euclidean_distances(
X : array-like of shape (n_samples_X, n_features)
An array where each row is a sample and each column is a feature.
- Y : array-like of shape=(n_samples_Y, n_features), default=None
+ Y : array-like of shape (n_samples_Y, n_features), default=None
An array where each row is a sample and each column is a feature.
If `None`, method uses `Y=X`.
