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update with aws master
update with aws master
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CHANGELOG.md

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# Changelog
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## v1.58.2.post0 (2020-05-18)
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### Documentation Changes
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* specify S3 source_dir needs to point to a tar file
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* update PyTorch BYOM topic
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## v1.58.2 (2020-05-13)
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### Bug Fixes and Other Changes

src/sagemaker/model_monitor/dataset_format.py

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dict: JSON string containing DatasetFormat to be used by DefaultModelMonitor.
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"""
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return {"sagemaker_capture_json": {}}
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return {"sagemakerCaptureJson": {}}

src/sagemaker/processing.py

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output_kms_key (str): The KMS key ID for processing job outputs (default: None).
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max_runtime_in_seconds (int): Timeout in seconds (default: None).
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After this amount of time, Amazon SageMaker terminates the job,
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regardless of its current status.
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regardless of its current status. If `max_runtime_in_seconds` is not
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specified, the default value is 24 hours.
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base_job_name (str): Prefix for processing job name. If not specified,
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the processor generates a default job name, based on the
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processing image name and current timestamp.
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output_kms_key (str): The KMS key ID for processing job outputs (default: None).
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max_runtime_in_seconds (int): Timeout in seconds (default: None).
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After this amount of time, Amazon SageMaker terminates the job,
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regardless of its current status.
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regardless of its current status. If `max_runtime_in_seconds` is not
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specified, the default value is 24 hours.
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base_job_name (str): Prefix for processing name. If not specified,
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the processor generates a default job name, based on the
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processing image name and current timestamp.

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