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Posted to commits@beam.apache.org by al...@apache.org on 2019/11/27 17:09:05 UTC
[beam] branch aaltay-patch-2 created (now b55f1a8)
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in repository https://gitbox.apache.org/repos/asf/beam.git.
at b55f1a8 Add a ML section to python SDK overview
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new b55f1a8 Add a ML section to python SDK overview
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[beam] 01/01: Add a ML section to python SDK overview
Posted by al...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
altay pushed a commit to branch aaltay-patch-2
in repository https://gitbox.apache.org/repos/asf/beam.git
commit b55f1a824f33e7f190e742b0b2e76eeecc0ac302
Author: Ahmet Altay <aa...@gmail.com>
AuthorDate: Wed Nov 27 09:08:50 2019 -0800
Add a ML section to python SDK overview
Started by adding a link to TFX (which links back to Beam), overtime it could be extended to a full page with additional examples on how Beam python sdk/Beam notebooks could be part of ML pipelines.
---
website/src/documentation/sdks/python.md | 4 ++++
1 file changed, 4 insertions(+)
diff --git a/website/src/documentation/sdks/python.md b/website/src/documentation/sdks/python.md
index 33a5964..d43923c 100644
--- a/website/src/documentation/sdks/python.md
+++ b/website/src/documentation/sdks/python.md
@@ -47,3 +47,7 @@ The Beam SDK for Python provides an extensible API that you can use to create
new I/O connectors. See the [Developing I/O connectors overview]({{ site.baseurl }}/documentation/io/developing-io-overview)
for information about developing new I/O connectors and links to
language-specific implementation guidance.
+
+## Using Beam Python SDK in your ML pipelines
+
+* [TFX](https://www.tensorflow.org/tfx) is an ML platform based on TensorFlow and it is integrated with Beam. See [TFX user guide](https://www.tensorflow.org/tfx/guide) for more information.