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The following commit(s) were added to refs/heads/asf-site by this push: new 85194d2 Publishing website 2019/12/10 23:41:39 at commit 98ad0a6 85194d2 is described below commit 85194d2863dffdba07c1c586d2e06cd00ceb6a51 Author: jenkins <bui...@apache.org> AuthorDate: Tue Dec 10 23:41:39 2019 +0000 Publishing website 2019/12/10 23:41:39 at commit 98ad0a6 --- website/generated-content/documentation/sdks/python/index.html | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/website/generated-content/documentation/sdks/python/index.html b/website/generated-content/documentation/sdks/python/index.html index 4eaa12c..07e88fe 100644 --- a/website/generated-content/documentation/sdks/python/index.html +++ b/website/generated-content/documentation/sdks/python/index.html @@ -292,6 +292,7 @@ <li><a href="#python-type-safety">Python type safety</a></li> <li><a href="#managing-python-pipeline-dependencies">Managing Python pipeline dependencies</a></li> <li><a href="#developing-new-io-connectors-for-python">Developing new I/O connectors for Python</a></li> + <li><a href="#using-beam-python-sdk-in-your-ml-pipelines">Using Beam Python SDK in your ML pipelines</a></li> </ul> @@ -342,6 +343,10 @@ new I/O connectors. See the <a href="/documentation/io/developing-io-overview">D for information about developing new I/O connectors and links to language-specific implementation guidance.</p> +<h2 id="using-beam-python-sdk-in-your-ml-pipelines">Using Beam Python SDK in your ML pipelines</h2> + +<p><a href="https://www.tensorflow.org/tfx">TensorFlow Extended (TFX)</a> is an end-to-end platform for deploying production ML pipelines. TFX is integrated with Beam. For more information, see <a href="https://www.tensorflow.org/tfx/guide">TFX user guide</a>.</p> + </div> </div> <!--