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Update sagemaker requirement from <3,>=2 to >=2,<4#653

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Update sagemaker requirement from <3,>=2 to >=2,<4#653
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dependabot/pip/sagemaker-gte-2-and-lt-4

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@dependabot dependabot bot commented on behalf of github Mar 9, 2026

Updates the requirements on sagemaker to permit the latest version.

Release notes

Sourced from sagemaker's releases.

v3.5.0

Features

  • Feature Store v3: New version of Feature Store functionality
  • Batch job listing by share identifier: Added support for listing Batch jobs filtered by share identifier
  • Stop condition for model customization trainers: Added stopping condition support to model customization trainers
  • EMRStep smart output: Enhanced EMR step output handling with smart output capabilities
  • Transform AMI version support: Added support for specifying AMI version in SageMaker transform jobs

Enhancements

  • Inference pipeline notebook example: Added example notebook demonstrating inference pipeline usage
  • Migration documentation: Added migration documentation

Bug Fixes

  • Model Customization bugs: Fixed multiple issues in Model Customization functionality
  • Default stopping condition removal: Removed default stopping condition for MC trainer to prevent conflicts
  • Instance groups parameter handling: Fixed issue where default instance_type/instance_count were incorrectly applied when instance_groups was set
  • JumpStart alt config resolution: Resolved alternative configuration resolution for JumpStart models
  • Inference processor naming: Updated inference processor identifier from 'inf2' to 'neuronx'
  • HuggingFace Neuronx PyTorch version: Corrected the PyTorch version for HuggingFace Neuronx
  • License additions: Added license to sagemaker-mlops and sagemaker-serve packages
Changelog

Sourced from sagemaker's changelog.

v3.5.0 (2026-03-02)

Features

  • Feature Store v3: New version of Feature Store functionality
  • Batch job listing by share identifier: Added support for listing Batch jobs filtered by share identifier
  • Stop condition for model customization trainers: Added stopping condition support to model customization trainers
  • EMRStep smart output: Enhanced EMR step output handling with smart output capabilities
  • Transform AMI version support: Added support for specifying AMI version in SageMaker transform jobs

Enhancements

  • Inference pipeline notebook example: Added example notebook demonstrating inference pipeline usage
  • Migration documentation: Added migration documentation

Bug Fixes

  • Model Customization bugs: Fixed multiple issues in Model Customization functionality
  • Default stopping condition removal: Removed default stopping condition for MC trainer to prevent conflicts
  • Instance groups parameter handling: Fixed issue where default instance_type/instance_count were incorrectly applied when instance_groups was set
  • JumpStart alt config resolution: Resolved alternative configuration resolution for JumpStart models
  • Inference processor naming: Updated inference processor identifier from 'inf2' to 'neuronx'
  • HuggingFace Neuronx PyTorch version: Corrected the PyTorch version for HuggingFace Neuronx
  • License additions: Added license to sagemaker-mlops and sagemaker-serve packages

v3.4.1 (2026-02-10)

Fixes

  • Pipelines: Correct Tag class usage in pipeline creation (#5526)
  • ModelTrainer: Support PipelineVariables in hyperparameters (#5519)
  • HyperparameterTuner: Include ModelTrainer internal channels (#5516)
  • Experiments: Don't apply default experiment config for pipelines in non-Eureka GA regions (#5500)

Features

  • JumpStart: Added ISO regions support (#5505)
  • JumpStart: Added version 1.4 and 1.5 (#5538)

Chores

  • Added unit and integration tests for JumpStart search functionality (#5544)
  • Removed java-kotlin from CodeQL workflow (#5517)

v3.4.0 (2026-01-22)

Features

  • feat: add emr-serverless step for SageMaker Pipelines

Bug fixes and Other Changes

  • Add Nova recipe training support in ModelTrainer
  • Add Partner-app Auth provider
  • Add sagemaker dependency for remote function by default V3

... (truncated)

Commits
  • 71c8d70 Release 3.5.0 (#5589)
  • 2bcf800 fix: ignore .venv folder (#5590)
  • a6303a4 Fix: secure tar extraction issue (#5587)
  • 1210ac1 Fix: Enable LLM-as-Judge base model evaluation integration tests, Add cleanup...
  • d19ff2d fix: pipeline template for LLMaaJ base model inference (#5582)
  • 487764a Feature store v3 (#5539)
  • 1752e7a Fix: Remove default for stopping condition for MC trainer (#5586)
  • 2396310 Feature: Add support for listing Batch jobs by share identifier (#5585)
  • d3770cc feat: add stop condition to model customization trainers (#5579)
  • 723455f fix(train): Skip default instance_type/instance_count when instance_groups is...
  • Additional commits viewable in compare view

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Updates the requirements on [sagemaker](https://github.com/aws/sagemaker-python-sdk) to permit the latest version.
- [Release notes](https://github.com/aws/sagemaker-python-sdk/releases)
- [Changelog](https://github.com/aws/sagemaker-python-sdk/blob/master/CHANGELOG.md)
- [Commits](aws/sagemaker-python-sdk@v2.0.0...v3.5.0)

---
updated-dependencies:
- dependency-name: sagemaker
  dependency-version: 3.5.0
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Mar 9, 2026
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