* You can use `pytest` to test docstrings, e.g. assuming the

`RandomForestClassifier` docstring has been modified, the following command

would test its docstring compliance:

.. prompt:: bash

pytest --doctest-modules sklearn/ensemble/_forest.py -k RandomForestClassifier

* The correct order of sections is: Parameters, Returns, See Also, Notes, Examples.

See the `numpydoc documentation

<https://numpydoc.readthedocs.io/en/latest/format.html#sections>`_ for

information on other possible sections.

* The "Notes" section is optional. It is meant to provide information on

specific behavior of a function/class/classmethod/method.

* A `Note` can also be added to an attribute, but in that case it requires

using the `.. rubric:: Note` directive.

* Add one or two **snippets** of code in "Example" section to show how it can

be used. The code should be runable as is, i.e. it should include all

required imports. Keep this section as brief as possible.