[GitHub] [beam] matthiasa4 commented on a change in pull request #13644: [BEAM-11544] BQML pattern

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matthiasa4 commented on a change in pull request #13644:
URL: https://github.com/apache/beam/pull/13644#discussion_r602939039



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File path: website/www/site/content/en/documentation/patterns/bqml.md
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+---
+title: "BigQuery ML integration"
+---
+
+<!--
+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.
+-->
+
+# BigQuery ML integration
+
+With the samples on this page we will demonstrate how to integrate models exported from [BigQuery ML (BQML)](https://cloud.google.com/bigquery-ml/docs) into your Apache Beam pipeline using [TFX Basic Shared Libraries (tfx_bsl)](https://github.com/tensorflow/tfx-bsl).
+
+Roughly, the sections below will go through the following steps in more detail:
+
+1. Create and train your BigQuery ML model
+1. Export your BigQuery ML model
+1. Create a transform that uses the brand-new BigQuery ML model
+
+## Create and train your BigQuery ML model
+
+To be able to incorporate your BQML model into an Apache Beam pipeline using tfx_bsl, it has to be in the [TensorFlow SavedModel](https://www.tensorflow.org/guide/saved_model) format. An overview that maps different model types to their export model format for BQML can be found [here](https://cloud.google.com/bigquery-ml/docs/exporting-models#export_model_formats_and_samples).
+
+For the sake of simplicity, we'll be training a (simplified version of the) logistic regression model in the [BQML quickstart guide](https://cloud.google.com/bigquery-ml/docs/bigqueryml-web-ui-start), using the publicly available Google Analytics sample dataset. An overview of all models you can create using BQML can be found [here](https://cloud.google.com/bigquery-ml/docs/introduction#supported_models_in).
+
+After creating a BigQuery dataset, you continue to create the model, which is fully defined in SQL:
+
+```SQL
+CREATE MODEL IF NOT EXISTS `bqml_tutorial.sample_model`
+OPTIONS(model_type='logistic_reg', input_label_cols=["label"]) AS
+SELECT
+  IF(totals.transactions IS NULL, 0, 1) AS label,
+  IFNULL(geoNetwork.country, "") AS country
+FROM
+  `bigquery-public-data.google_analytics_sample.ga_sessions_*`
+WHERE
+  _TABLE_SUFFIX BETWEEN '20160801' AND '20170630'

Review comment:
       It's a sharded table (I seem to remember GA360 exports in this format, not in partitioned tables)




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