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CHANGELOG.md

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# Changelog
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## v2.49.0 (2021-07-15)
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### Features
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* Adding serial inference pipeline support to RegisterModel Step
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### Documentation Changes
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* add tuning step get_top_model_s3_uri and callback step to doc
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* links for HF in sdk
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* Add Clarify module to Model Monitoring API docs
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## v2.48.2 (2021-07-12)
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### Bug Fixes and Other Changes
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* default time for compilation jobs
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* skip hf inference test
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## v2.48.1 (2021-07-08)
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### Bug Fixes and Other Changes
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* skip HF inference test
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* remove upsert from test_workflow
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### Documentation Changes
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* Add Hugging Face docs
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* add tuning step to doc
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## v2.48.0 (2021-07-07)
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### Features
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* HuggingFace Inference
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### Bug Fixes and Other Changes
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* add support for SageMaker workflow tuning step
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## v2.47.2.post0 (2021-07-01)
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### Documentation Changes
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* smddp 1.2.1 release note / convert md to rst
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* add smd model parallel 1.4.0 release note / restructure doc files
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## v2.47.2 (2021-06-30)
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### Bug Fixes and Other Changes
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* handle tags when upsert pipeine
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## v2.47.1 (2021-06-27)
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### Bug Fixes and Other Changes
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* revert "fix: jsonGet interpolation issue 2426 + allow step depends on pass in step instance (#2477)"
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## v2.47.0 (2021-06-25)
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### Features
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* support job_name_prefix for Clarify
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### Bug Fixes and Other Changes
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* Add configuration option with headers for Clarify Explainability
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* jsonGet interpolation issue 2426 + allow step depends on pass in step instance
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* add default retries to feature group ingestion.
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* Update using_pytorch.rst
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* kms key does not propapate in register model step
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* Correctly interpolate Callback output parameters
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## v2.46.1 (2021-06-22)
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### Bug Fixes and Other Changes
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* Register model step tags
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### Documentation Changes
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* update to include new batch_get_record api call
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* Correct type annotation for TrainingStep inputs
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* introduce input mode FastFile
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* update hf transformer version
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## v2.46.0 (2021-06-15)
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### Features

VERSION

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2.46.1.dev0
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2.49.1.dev0

doc/amazon_sagemaker_featurestore.rst

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record_identifier_value = str(2990130)
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featurestore_runtime.get_record(FeatureGroupName=transaction_feature_group_name, RecordIdentifierValueAsString=record_identifier_value)
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You can use the ``batch_get_record`` function to retrieve multiple records simultaneously from your feature store. The following example uses this API to retrieve a batch of records.
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.. code:: python
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record_identifier_values = ["573291", "109382", "828400", "124013"]
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featurestore_runtime.batch_get_record(Identifiers=[{"FeatureGroupName": transaction_feature_group_name, "RecordIdentifiersValueAsString": record_identifier_values}])
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An example response from the fraud detection example:
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.. code:: python

doc/api/inference/model_monitor.rst

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:members:
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:undoc-members:
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:show-inheritance:
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.. automodule:: sagemaker.model_monitor.clarify_model_monitoring
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:members:
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:undoc-members:
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:show-inheritance:

doc/api/training/sdp_versions/latest.rst

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Version 1.2.0 (Latest)
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Version 1.2.x (Latest)
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======================
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.. toctree::

doc/api/training/sdp_versions/latest/smd_data_parallel_tensorflow.rst

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.. rubric:: Supported versions
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**TensorFlow 2.3.1, 2.4.1**
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**TensorFlow 2.3.1, 2.4.1, 2.5.0**
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.. function:: smdistributed.dataparallel.tensorflow.init()
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doc/api/training/smd_data_parallel.rst

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Release Notes
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=============
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New features, bug fixes, and improvements are regularly made to the SageMaker distributed data parallel library.
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New features, bug fixes, and improvements are regularly made to the SageMaker
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distributed data parallel library.
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To see the the latest changes made to the library, refer to the library
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`Release Notes
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<https://github.com/aws/sagemaker-python-sdk/blob/master/doc/api/training/smd_data_parallel_release_notes/>`_.
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.. toctree::
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:maxdepth: 1
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smd_data_parallel_release_notes/smd_data_parallel_change_log

doc/api/training/smd_data_parallel_release_notes/smd_data_parallel_change_log.md

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