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PyPI · #2043 most downloaded on PyPI
An python package for sagemaker core functionalities
Last release 10 days ago
24 Sep 2026
Ships on a steady schedule
a new release about every 2 weeks
Some releases are documented
notes for 34 of the last 60 stable releases
1 version withdrawn
withdrawn after publishing
2 years old
114 releases · first in 2024
Add support for actions in debugger rules.
fix(jumpstart): name JumpStart in the content bucket error
One column per month.
Support local mode for Amazon SageMaker Processing jobs
remove D205 to enable PEP257 Docstring Conventions
add dataset definition support for processing jobs
add tensorflow 1.15.4 and 2.3.1 as valid versions
all de/serializers support content type
bump minor version for re:Invent 2020 features
update image uri for neo tensorflow
include more notebook tests, logger to warn
forward-port v1 names as deprecated aliases
add a condition to retrieve correct image URI for xgboost
### Other - Update version
add xgboost framework version 1.2-1
### Features * upgrade Neo MxNet to 1.7
aws-sagemaker-token-generator library into sagemaker.core so users can generate SageMaker bearer tokens without installing a separate wheel (#5868)IcebergProperties in feature processor (#5816)AttributeError on vpc_config in networking and telemetry region fallback for classmethods (#5839)CustomAttributes field to DefaultPayloadsModel (#5870)serialize() output — False, 0, and "" were silently dropped due to truthy check (#5860)pin pytest version <6.1.0 to avoid pytest-rerunfailures breaking changes
### Bug Fixes - Fix image retriever tests
add inferentia pytorch inference container config
removed Kubernetes workflow content
add spark processing support to processing jobs
Telemetry: Added telemetry emitter to ScriptProcessor and FrameworkProcessor, enabling SDK usage tracking for processing jobs via the telemetry attrib
ScriptProcessor and FrameworkProcessor, enabling SDK usage tracking for processing jobs via the telemetry attribution module (new PROCESSING feature enum added to telemetry constants)accept_eula handling in ModelBuilder's LoRA deployment path — previously hardcoded to True, now respects the user-provided value and raises a ValueError if not explicitly set to Truelambda_function.lambda_handler instead of deriving it from the source filename, which caused invocation failures when the source file had a non-default namereshape Parents into experiment analytics dataframe
add model monitor image accounts for af-south-1 and eu-south-1
formatting changes from updates to black
ModelCard and ModelPackageModelCard objects (#5611)PermissionError recovery (#5601)file:// scheme URIs for output S3 paths (#5601)rich dependency upper bound back to 15.0.0 (#5620)eusc-de-east-1) to JumpStart region config (#5615)lmi21.0.0-cu129 for SDK v3.x (#5616)us-iso-west-1, us-isob-west-1) to alternate domains config_convert_expression method from JumpStart search (#5593)break out methods to get processing arguments
### Bug Fixes and Other Changes * update rulesconfig to 0.1.5
Neo algorithm accounts for af-south-1 and eu-south-1
ProcessingJob fix - Remove tags in Processor while Job creation
update 1p estimators class description
new 1P algorithm accounts for af-south-1 and eu-south-1
### Bug fixes * Fixed Unit and integ tests
add DLC account numbers for af-south-1 and eu-south-1
use pathlib.PurePosixPath for S3 URLs and Unix paths
Released SageMaker Core 2.0 as part of Python SDK 3.0 release
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