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https://issues.apache.org/jira/browse/BEAM-9421?focusedWorklogId=435695&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-435695
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ASF GitHub Bot logged work on BEAM-9421:
----------------------------------------
Author: ASF GitHub Bot
Created on: 20/May/20 21:05
Start Date: 20/May/20 21:05
Worklog Time Spent: 10m
Work Description: rose-rong-liu commented on a change in pull request
#11075:
URL: https://github.com/apache/beam/pull/11075#discussion_r428307092
##########
File path: website/www/site/content/en/documentation/patterns/ai-platform.md
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@@ -0,0 +1,79 @@
+---
+title: "AI Platform integration patterns"
+---
+<!--
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+-->
+
+# AI Platform integration patterns
+
+This page describes common patterns in pipelines with Google Cloud AI Platform
transforms.
+
+{{< language-switcher java py >}}
+
+## Getting predictions
+
+This section shows how to use [Google Cloud AI Platform
Prediction](https://cloud.google.com/ai-platform/prediction/docs/overview) to
make predictions about new data from a cloud-hosted machine learning model.
+
+[tfx_bsl](https://github.com/tensorflow/tfx-bsl) is a library with a Beam
PTransform called `RunInference`. `RunInference` is able to perform an
inference that can use an external service endpoint for receiving data. When
using a service endpoint, the transform takes a PCollection of type
`tf.train.Example` and, for every batch of elements, sends a request to AI
Platform Prediction. The size of a batch may vary. For more details on how Beam
finds the best batch size, refer to a docstring for
[BatchElements](https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.util.html?highlight=batchelements#apache_beam.transforms.util.BatchElements).
Review comment:
We're actively looking for solutions for sequence example support, which
we may leverage arrow on. Maybe add a note to mention sequence example will be
supported shortly?
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Issue Time Tracking
-------------------
Worklog Id: (was: 435695)
Time Spent: 11h 50m (was: 11h 40m)
> AI Platform pipeline patterns
> -----------------------------
>
> Key: BEAM-9421
> URL: https://issues.apache.org/jira/browse/BEAM-9421
> Project: Beam
> Issue Type: Sub-task
> Components: website
> Reporter: Kamil Wasilewski
> Assignee: Kamil Wasilewski
> Priority: P2
> Labels: pipeline-patterns
> Time Spent: 11h 50m
> Remaining Estimate: 0h
>
> New pipeline patterns should be contributed to the Beam's website in order to
> demonstrate how newly implemented Google Cloud AI PTransforms can be used in
> pipelines.
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