このページには、AutoML Tables に関する更新内容が記載されています。このページを定期的にチェックして、新機能や更新された機能、バグ修正、既知の問題、非推奨になった機能に関するお知らせを確認してください。
AutoML Tables の既知の問題の一覧については、既知の問題をご覧ください。
Google Cloud リリースノートのページで、Google Cloud の最新のプロダクト更新情報をすべて確認できます。
プロダクトのアップデートに関する最新情報を受け取るには、このページの URL をフィード リーダーに追加するか、またはフィード URL ディレクトリ
https://cloud.google.com/feeds/automl-tables-release-notes.xml
を直接追加します。
January 03, 2024
The shutdown date for AutoML Tables has changed from Jan 23, 2024 to Mar 31, 2024.
January 23, 2023
AI Hub and the legacy versions of the following products are deprecated and will no longer be available on Google Cloud after January 17, 2024:
All the functionality of these legacy versions and new features are available on the Vertex AI platform. See Migrate to Vertex AI to learn how to migrate your resources.
June 01, 2020
Support for feature importance with batch predictions.
April 03, 2020
Integration with VPC Service Controls is now in beta stage.
November 21, 2019
As part of AI Explanations, AutoML Tables now provides the option to show how each feature impacted an online prediction. This capability is called local feature importance, and is calculated using the Sampled Shapley method. Learn more.
November 18, 2019
Support for the European Union region, including the ability to configure AutoML Tables to store your data at rest and perform machine learning processing only in the European Union. Learn more.
Support for exporting AutoML Tables models to Cloud Storage, and then use Docker to make the model available for predictions. Learn more.
Support for using Stackdriver Logging to see final model hyperparameters as well as hyperparameters used during training trials. Learn more.
November 15, 2019
- Support for up to 500 distinct values for Categorical target column.
- Support for Precision at recall and Recall at precision optimization objectives for classification models. Learn more.
The AutoML Tables Python client library now includes additional methods that simplify using the AutoML API for common AutoML Tables tasks. Learn more.
July 23, 2019
Datasets smaller than 100,000 rows (and larger than the minimum size of 1,000 rows) are now fully supported.
June 28, 2019
Support for the "early stopping" feature. The model training process now stops by default when the search process is no longer finding better performing models. Early stopping can also be disabled.
June 12, 2019
- Support for up to 100 distinct values for Categorical target column.
- Support for BigQuery views.
April 29, 2019
Filename change for CSV output files for batch predictions; now tables_1.csv, tables_2.csv and so on. Learn more.
April 10, 2019
AutoML Tables Beta Release
March 19, 2019
You must deploy a model before you can request online predictions using that model. Once you deploy a model, it remains deployed until you undeploy it. You can deploy and undeploy models by using Google Cloud Platform Console or by using the Cloud AutoML. Learn more.
December 14, 2018
AutoML Tables EAP release
Only the us-central1 location is supported.