ideally referring to a person with the responsibility to complete the note.

Use the following forms in your markdown:

	[http.Request]                     # symbol documentation; auto-linked as in Go doc strings
	[#12345](/issue/12345)             # GitHub issues
	[CL 6789](/cl/6789)                # Gerrit changelists

## For the release team

* Add article [Deploying a scikit-learn model with ONNX and FastAPI](https://medium.com/@nico.axtmann95/deploying-a-scikit-learn-model-with-onnx-und-fastapi-1af398268915) by [Nico Axtmann](https://www.linkedin.com/in/nico-axtmann). PR [#438](https://github.com/tiangolo/fastapi/pull/438) by [@naxty](https://github.com/naxty).
* Allow setting custom `422` (validation error) response/schema in OpenAPI.

with which the Combined Work was made is also called the "Linked
Version".

  The "Minimal Corresponding Source" for a Combined Work means the
Corresponding Source for the Combined Work, excluding any source code
for portions of the Combined Work that, considered in isolation, are
based on the Application, and not on the Linked Version.

  The "Corresponding Application Code" for a Combined Work means the

language feature (or some aspect of it) was changed or added with language version 1.xx and
thus requires at minimum that language version to build.
For details, see the <a href="#Language_versions">linked section</a>
in the <a href="#Appendix">appendix</a>.
</p>

<h2 id="Source_code_representation">Source code representation</h2>

<p>
Source code is Unicode text encoded in

    format(`tf.contrib.saved_model.save_keras_model()`) and used with Tensorflow
    Serving.
*   Keras models now support evaluating with a `tf.data.Dataset`.
*   TensorFlow binaries are built with XLA support linked in by default.
*   Ignite Dataset added to contrib/ignite that allows to work with Apache
    Ignite.

## Bug Fixes and Other Changes

*   tf.data: