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Merge branch 'aws:master' into featuregroup-schema
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CHANGELOG.md

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# Changelog
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## v2.99.0 (2022-07-08)
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### Features
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* heterogeneous cluster set up in distribution config
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* support heterogeneous cluster for training
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* include fields to work with inference recommender
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### Bug Fixes and Other Changes
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* Moving the newly added field instance_group to the end of method
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* image_uri does not need to be specified with instance_groups
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* Loosen version of attrs dependency
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* Add PipelineVariable annotation in estimatory, processing, tuner, transformer base classes
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* model table link
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### Documentation Changes
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* documentation for heterogeneous cluster
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## v2.98.0 (2022-07-05)
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### Features

VERSION

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2.98.1.dev0
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2.99.1.dev0

doc/api/utility/instance_group.rst

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Instance Group
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--------------
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.. automodule:: sagemaker.instance_group
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:members:
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:undoc-members:
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:show-inheritance:
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:private-members:

setup.py

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# Declare minimal set for installation
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required_packages = [
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"attrs==20.3.0",
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"attrs>=20.3.0,<22",
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"boto3>=1.20.21,<2.0",
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"google-pasta",
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"numpy>=1.9.0,<2.0",

src/sagemaker/algorithm.py

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self.algorithm_arn = algorithm_arn
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super(AlgorithmEstimator, self).__init__(
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role,
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instance_count,
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instance_type,
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volume_size,
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volume_kms_key,
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max_run,
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input_mode,
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output_path,
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output_kms_key,
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base_job_name,
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sagemaker_session,
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tags,
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subnets,
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security_group_ids,
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instance_count=instance_count,
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instance_type=instance_type,
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volume_size=volume_size,
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volume_kms_key=volume_kms_key,
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max_run=max_run,
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input_mode=input_mode,
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output_path=output_path,
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output_kms_key=output_kms_key,
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base_job_name=base_job_name,
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sagemaker_session=sagemaker_session,
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tags=tags,
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subnets=subnets,
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security_group_ids=security_group_ids,
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model_uri=model_uri,
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model_channel_name=model_channel_name,
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metric_definitions=metric_definitions,

src/sagemaker/clarify.py

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