SageMaker Python SDK Files

Training and deploying machine learning models on Amazon SageMaker

This is an exact mirror of the SageMaker Python SDK project, hosted at https://github.com/aws/sagemaker-python-sdk. SourceForge is not affiliated with SageMaker Python SDK.

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Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2026-10-13	1.0 kB	0
v3.25.0 source code.tar.gz	2026-10-13	19.2 MB	0
v3.25.0 source code.zip	2026-10-13	20.5 MB	0
Totals: 3 Items		39.7 MB	0

# SageMaker Python SDK v3.25.0

Package versions:

sagemaker 3.25.0
sagemaker-core 2.25.0
sagemaker-train 1.25.0
sagemaker-serve 1.25.0
sagemaker-mlops 1.25.0

## New Features

feat(train): add the interactive Training Sessions client surface (#6452)

## Bug Fixes

fix(core): prevent false-positive RoleValidationError under conditional access (#6029)
fix(core): resolve HuggingFace version alias in image URI tag (#5722)
fix(local): align local mode with the SageMaker service (#6317)
fix: make local mode health-check timeout configurable via session config (#5778)
fix(model-monitor): honor base_job_name for job definition names (#6372)
fix(processing): fix V3 shape regressions + KMS/requirements gaps in processors (#6364)
fix: accept CUSTOMIZATION capability in JumpStart hub documents (#6456)
fix(train): bound pydantic to <3.0.0 for cross-package consistency (#6363)
fix(train): set input_data_config to None (#6154)

Source: README.md, updated 2026-10-13

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