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‎CHANGELOG.md

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# Changelog
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## v2.59.1 (2021-09-02)
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### Bug Fixes and Other Changes
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* pin docker to 5.0.0
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## v2.59.0 (2021-09-01)
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### Features
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* Add KIX account for SM XGBoost 1.2-2 and 1.3-1
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### Bug Fixes and Other Changes
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* revert #2572 and address #2611
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## v2.58.0 (2021-08-31)
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### Features
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* update debugger for KIX
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* support displayName and description for pipeline steps
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### Bug Fixes and Other Changes
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* localmode subprocess parent process not sending SIGTERM to child
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## v2.57.0 (2021-08-30)
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### Deprecations and Removals
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* Remove stale S3DownloadMode from test_session.py
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### Features
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* update clarify imageURI for KIX
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### Bug Fixes and Other Changes
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* propagate KMS key to model.deploy
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* Propagate tags and VPC configs to repack model steps
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## v2.56.0 (2021-08-26)
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### Features
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* Add NEO KIX Configuration
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* Algorithms region launch on KIX
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### Bug Fixes and Other Changes
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* remove dots from CHANGELOG
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## v2.55.0 (2021-08-25)
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### Features
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* Add information of Amazon-provided analysis image used by Model Monitor
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### Bug Fixes and Other Changes
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* Update Changelog to fix release
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* Fixing the order of populating container list
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* pass network isolation config to pipelineModel
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* Deference symbolic link when create tar file
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* multiprocess issue in feature_group.py
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* deprecate tag logic on Association
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### Documentation Changes
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* add dataset_definition to processing page
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## v2.54.0 (2021-08-16)
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### Bug Fixes and Other Changes
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* issue #2253 where Processing job in Local mode would call Describe…
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* issue #2253 where Processing job in Local mode would call Describe API
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## v2.53.0 (2021-08-12)
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‎VERSION

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2.54.1.dev0
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2.59.2.dev0

‎doc/api/utility/inputs.rst

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:members:
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:undoc-members:
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:show-inheritance:
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:noindex:
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.. automodule:: sagemaker.dataset_definition.inputs
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:members:
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:undoc-members:
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:show-inheritance:

‎setup.py

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"local": [
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"urllib3>=1.21.1,!=1.25,!=1.25.1",
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"docker-compose>=1.25.2",
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"docker==5.0.0",
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"PyYAML>=5.3, <6", # PyYAML version has to match docker-compose requirements
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],
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"scipy": ["scipy>=0.19.0"],

‎src/sagemaker/automl/automl.py

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serializer=serializer,
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deserializer=deserializer,
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endpoint_name=endpoint_name,
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kms_key=model_kms_key,
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tags=tags,
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wait=wait,
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)

‎src/sagemaker/dataset_definition/inputs.py

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With this input, SQL queries will be executed using Redshift to generate datasets to S3.
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Attributes:
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Parameters:
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cluster_id (str): The Redshift cluster Identifier.
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database (str): The name of the Redshift database used in Redshift query execution.
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db_user (str): The database user name used in Redshift query execution.
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With this input, SQL queries will be executed using Athena to generate datasets to S3.
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Attributes:
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Parameters:
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catalog (str): The name of the data catalog used in Athena query execution.
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database (str): The name of the database used in the Athena query execution.
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query_string (str): The SQL query statements, to be executed.
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class DatasetDefinition(ApiObject):
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"""DatasetDefinition input.
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Parameters:
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data_distribution_type (str): Whether the generated dataset is FullyReplicated or
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ShardedByS3Key (default).
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input_mode (str): Whether to use File or Pipe input mode. In File (default) mode, Amazon
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local_path (str): The local path where you want Amazon SageMaker to download the Dataset
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Definition inputs to run a processing job. LocalPath is an absolute path to the input
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data. This is a required parameter when `AppManaged` is False (default).
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redshift_dataset_definition
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(:class:`~sagemaker.dataset_definition.inputs.RedshiftDatasetDefinition`): Redshift
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dataset definition.
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redshift_dataset_definition (:class:`~sagemaker.dataset_definition.inputs.RedshiftDatasetDefinition`):
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Configuration for Redshift Dataset Definition input.
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athena_dataset_definition (:class:`~sagemaker.dataset_definition.inputs.AthenaDatasetDefinition`):
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Configuration for Athena Dataset Definition input.
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"""
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S3 list operations are not strongly consistent.
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Use ManifestFile if strong consistency is required.
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Parameters:
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s3_uri (str): the path to a specific S3 object or a S3 prefix
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local_path (str): the path to a local directory. If not provided, skips data download
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by SageMaker platform.

‎src/sagemaker/image_uri_config/blazingtext.json

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"ap-east-1": "286214385809",
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"ap-northeast-1": "501404015308",
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"ap-northeast-2": "306986355934",
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"ap-northeast-3": "867004704886",
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"ap-south-1": "991648021394",
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"ap-southeast-1": "475088953585",
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"ap-southeast-2": "544295431143",

‎src/sagemaker/image_uri_config/clarify.json

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"ap-east-1": "098760798382",
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"ap-northeast-1": "377024640650",
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"ap-northeast-2": "263625296855",
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"ap-northeast-3": "912233562940",
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"ap-south-1": "452307495513",
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"ap-southeast-1": "834264404009",
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"ap-southeast-2": "007051062584",

‎src/sagemaker/image_uri_config/debugger.json

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"ap-east-1": "199566480951",
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"ap-northeast-1": "430734990657",
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"ap-northeast-2": "578805364391",
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"ap-northeast-3": "479947661362",
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"ap-south-1": "904829902805",
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"ap-southeast-1": "972752614525",
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‎src/sagemaker/image_uri_config/factorization-machines.json

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"ap-east-1": "286214385809",
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"ap-northeast-1": "351501993468",
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"ap-northeast-3": "867004704886",
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‎src/sagemaker/image_uri_config/image-classification-neo.json

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"ap-east-1": "110948597952",
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"ap-northeast-2": "151534178276",
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"ap-northeast-3": "925152966179",
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"ap-south-1": "763008648453",
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‎src/sagemaker/image_uri_config/image-classification.json

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"ap-northeast-3": "867004704886",
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"ca-central-1": "469771592824",
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"cn-north-1": "390948362332",
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‎src/sagemaker/image_uri_config/inferentia-mxnet.json

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"ap-northeast-3": "925152966179",
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‎src/sagemaker/image_uri_config/inferentia-pytorch.json

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"ap-northeast-3": "925152966179",
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‎src/sagemaker/image_uri_config/inferentia-tensorflow.json

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"ap-northeast-2": "151534178276",
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"ap-northeast-3": "925152966179",
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‎src/sagemaker/image_uri_config/ipinsights.json

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"ap-northeast-3": "867004704886",
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‎src/sagemaker/image_uri_config/kmeans.json

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"ap-northeast-3": "867004704886",
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‎src/sagemaker/image_uri_config/knn.json

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"versions": {
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"af-south-1": "455444449433",
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"ap-northeast-3": "867004704886",
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‎src/sagemaker/image_uri_config/linear-learner.json

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"ap-northeast-3": "867004704886",
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‎src/sagemaker/image_uri_config/neo-mxnet.json

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"ap-northeast-3": "925152966179",
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‎src/sagemaker/image_uri_config/neo-pytorch.json

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"ap-northeast-3": "925152966179",
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"ap-northeast-3": "925152966179",
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"ap-northeast-3": "925152966179",
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‎src/sagemaker/image_uri_config/neo-tensorflow.json

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"ap-northeast-3": "925152966179",
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‎src/sagemaker/image_uri_config/ntm.json

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"ap-northeast-3": "867004704886",
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‎src/sagemaker/image_uri_config/object-detection.json

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"ap-east-1": "286214385809",
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"ap-northeast-3": "867004704886",
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‎src/sagemaker/image_uri_config/object2vec.json

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‎src/sagemaker/image_uri_config/pca.json

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"ap-northeast-3": "867004704886",
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‎src/sagemaker/image_uri_config/randomcutforest.json

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‎src/sagemaker/image_uri_config/semantic-segmentation.json

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"ap-east-1": "286214385809",
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‎src/sagemaker/image_uri_config/seq2seq.json

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"ap-northeast-3": "867004704886",
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‎src/sagemaker/image_uri_config/sklearn.json

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"ap-northeast-3": "867004704886",
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‎src/sagemaker/image_uri_config/xgboost-neo.json

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"ap-northeast-3": "925152966179",
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"ap-south-1": "763008648453",
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"ap-southeast-2": "355873309152",

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