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https://issues.apache.org/jira/browse/BEAM-9421?focusedWorklogId=406327&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-406327
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ASF GitHub Bot logged work on BEAM-9421:
----------------------------------------
Author: ASF GitHub Bot
Created on: 19/Mar/20 15:28
Start Date: 19/Mar/20 15:28
Worklog Time Spent: 10m
Work Description: kamilwu commented on pull request #11075: [BEAM-9421]
Website section that describes getting predictions using AI Platform Prediciton
URL: https://github.com/apache/beam/pull/11075#discussion_r395113820
##########
File path: website/src/documentation/patterns/ai-platform.md
##########
@@ -0,0 +1,87 @@
+---
+layout: section
+title: "AI Platform integration patterns"
+section_menu: section-menu/documentation.html
+permalink: /documentation/patterns/ai-platform/
+---
+<!--
+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.
+
+<nav class="language-switcher">
+ <strong>Adapt for:</strong>
+ <ul>
+ <li data-type="language-java">Java SDK</li>
+ <li data-type="language-py" class="active">Python SDK</li>
+ </ul>
+</nav>
+
+## 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 a service endpoint. When using a service endpoint, the
transform takes a PCollection of type `tf.train.Example` and, for every bunch
of elements, sends a request to AI Platform Prediction. The transform produces
a PCollection of type `PredictLog`, which contains predictions.
Review comment:
> Is there away to configure how many elements are in the batch?
No, in this case Beam handles the size of a batch on its own.
> I think the previous version of this paragraph stated that one request is
sent per element.
That's right. After a discussion on batching it comes to my mind this is not
truly correct.
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Issue Time Tracking
-------------------
Worklog Id: (was: 406327)
Time Spent: 6.5h (was: 6h 20m)
> 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: Major
> Labels: pipeline-patterns
> Time Spent: 6.5h
> 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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