Updating MissingIndicator User Guide section
An add_indicator parameter was added to SimpleImputer and IterativeImputer as an easy way to stack a MissingIndicator. This addition is now mentioned in the MissingIndicator section.
@@ -196,7 +196,11 @@ The :class:`MissingIndicator` transformer is useful to transform a dataset into
corresponding binary matrix indicating the presence of missing values in the
dataset. This transformation is useful in conjunction with imputation. When
using imputation, preserving the information about which values had been
-missing can be informative.
+missing can be informative. Note that both the :class:`SimpleImputer` and
+:class:`IterativeImputer` have the boolean parameter ``add_indicator``
+(``False`` by default) which when set to ``True`` provides a convenient way of
+stacking the output of the :class:`MissingIndicator` transformer with the
+output of the imputer.
``NaN`` is usually used as the placeholder for missing values. However, it
enforces the data type to be float. The parameter ``missing_values`` allows to
