This is an automated email from the ASF dual-hosted git repository.
git-site-role pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/beam.git
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 <[email protected]>
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>
<!--
