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Release v1.44.2 #4377

Merged
merged 1 commit into from Apr 27, 2022
Merged

Release v1.44.2 #4377

merged 1 commit into from Apr 27, 2022

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Release v1.44.2 (2022-04-27)

Service Client Updates

  • service/amplify: Updates service documentation
  • service/chime-sdk-media-pipelines: Adds new service
  • service/cloudtrail: Updates service API and documentation
    • Increases the retention period maximum to 2557 days. Deprecates unused fields of the ListEventDataStores API response. Updates documentation.
  • service/iotwireless: Updates service API, documentation, and paginators
  • service/lookoutequipment: Updates service API, documentation, and paginators
  • service/rekognition: Updates service API and documentation
    • This release adds support to configure stream-processor resources for label detections on streaming-videos. UpateStreamProcessor API is also launched with this release, which could be used to update an existing stream-processor.
  • service/sagemaker: Updates service API and documentation
    • Amazon SageMaker Autopilot adds support for custom validation dataset and validation ratio through the CreateAutoMLJob and DescribeAutoMLJob APIs.

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### Service Client Updates
* `service/amplify`: Updates service documentation
* `service/chime-sdk-media-pipelines`: Adds new service
* `service/cloudtrail`: Updates service API and documentation
  * Increases the retention period maximum to 2557 days. Deprecates unused fields of the ListEventDataStores API response. Updates documentation.
* `service/iotwireless`: Updates service API, documentation, and paginators
* `service/lookoutequipment`: Updates service API, documentation, and paginators
* `service/rekognition`: Updates service API and documentation
  * This release adds support to configure stream-processor resources for label detections on streaming-videos. UpateStreamProcessor API is also launched with this release, which could be used to update an existing stream-processor.
* `service/sagemaker`: Updates service API and documentation
  * Amazon SageMaker Autopilot adds support for custom validation dataset and validation ratio through the CreateAutoMLJob and DescribeAutoMLJob APIs.
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