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.github/PULL_REQUEST_TEMPLATE.md

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- [ ] I have read the [CONTRIBUTING](https://github.com/aws/sagemaker-python-sdk/blob/master/CONTRIBUTING.md) doc
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- [ ] I used the commit message format described in [CONTRIBUTING](https://github.com/aws/sagemaker-python-sdk/blob/master/CONTRIBUTING.md#committing-your-change)
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- [ ] I have used the regional endpoint when creating S3 and/or STS clients (if appropriate)
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- [ ] I have passed the region in to any/all clients that I've initialized as part of this change.
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- [ ] I have updated any necessary documentation, including [READMEs](https://github.com/aws/sagemaker-python-sdk/blob/master/README.rst) and [API docs](https://github.com/aws/sagemaker-python-sdk/tree/master/doc) (if appropriate)
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#### Tests

CHANGELOG.md

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# Changelog
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## v1.55.0 (2020-03-31)
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### Features
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* support cn-north-1 and cn-northwest-1
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## v1.54.0 (2020-03-31)
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### Features
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* inferentia support
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## v1.53.0 (2020-03-30)
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### Features
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* Allow setting S3 endpoint URL for Local Session
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### Bug Fixes and Other Changes
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* Pass kwargs from create_model to Model constructors
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* Warn if parameter server is used with multi-GPU instance
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## v1.52.1 (2020-03-26)
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### Bug Fixes and Other Changes
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* Fix local _SageMakerContainer detached mode (aws#1374)
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## v1.52.0.post0 (2020-03-25)
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### Documentation Changes
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* Add docs for debugger job support in operator
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## v1.52.0 (2020-03-24)
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### Features
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* add us-gov-west-1 to neo supported regions
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## v1.51.4 (2020-03-23)
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### Bug Fixes and Other Changes
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* Check that session is a LocalSession when using local mode
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* add tflite to Neo-supported frameworks
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* ignore tags with 'aws:' prefix when creating an EndpointConfig based on an existing one
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* allow custom image when calling deploy or create_model with various frameworks
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### Documentation Changes
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* fix description of default model_dir for TF
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* add more details about PyTorch eia
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## v1.51.3 (2020-03-12)
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### Bug Fixes and Other Changes

README.rst

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18. `BYO Model <https://sagemaker.readthedocs.io/en/stable/overview.html#byo-model>`__
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19. `Inference Pipelines <https://sagemaker.readthedocs.io/en/stable/overview.html#inference-pipelines>`__
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20. `Amazon SageMaker Operators for Kubernetes <#amazon-sagemaker-operators-for-kubernetes>`__
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21. `SageMaker Workflow <#sagemaker-workflow>`__
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21. `Amazon SageMaker Operators in Apache Airflow <#sagemaker-workflow>`__
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22. `SageMaker Autopilot <#sagemaker-autopilot>`__
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23. `Model Monitoring <#amazon-sagemaker-model-monitoring>`__
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24. `SageMaker Debugger <#amazon-sagemaker-debugger>`__
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.. _Amazon SageMaker Operators for Kubernetes: https://sagemaker.readthedocs.io/en/stable/amazon_sagemaker_operators_for_kubernetes.html
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SageMaker Workflow
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------------------
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Amazon SageMaker Operators in Apache Airflow
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--------------------------------------------
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You can use Apache Airflow to author, schedule and monitor SageMaker workflow.
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For more information, see `SageMaker Workflow in Apache Airflow`_.
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For more information, see `Amazon SageMaker Operators in Apache Airflow`_.
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.. _SageMaker Workflow in Apache Airflow: https://sagemaker.readthedocs.io/en/stable/using_workflow.html
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.. _Amazon SageMaker Operators in Apache Airflow: https://sagemaker.readthedocs.io/en/stable/using_workflow.html
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SageMaker Autopilot
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-------------------

VERSION

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1.51.4.dev0
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1.55.1.dev0

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