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Merge remote-tracking branch 'upstream/master' into feature-store-lakeformation
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.github/workflows/codeql.yml

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- language: python
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build-mode: none
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- language: java-kotlin
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build-mode: none
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steps:
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- name: Checkout repository
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uses: actions/checkout@6ccd57f4c5d15bdc2fef309bd9fb6cc9db2ef1c6

.gitignore

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doc/_templates
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**/.DS_Store
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venv/
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.venv/
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.pytest_cache/
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*.swp

.readthedocs.yaml

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install:
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- requirements: docs/requirements.txt
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- method: pip
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path: ./sagemaker-core
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- method: pip
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path: ./sagemaker-train
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- method: pip
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path: ./sagemaker-serve
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- method: pip
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path: ./sagemaker-mlops
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- method: pip
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CHANGELOG.md

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# Changelog
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## v3.5.0 (2026-03-02)
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### Features
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- **Feature Store v3**: New version of Feature Store functionality
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- **Batch job listing by share identifier**: Added support for listing Batch jobs filtered by share identifier
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- **Stop condition for model customization trainers**: Added stopping condition support to model customization trainers
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- **EMRStep smart output**: Enhanced EMR step output handling with smart output capabilities
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- **Transform AMI version support**: Added support for specifying AMI version in SageMaker transform jobs
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### Enhancements
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- **Inference pipeline notebook example**: Added example notebook demonstrating inference pipeline usage
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- **Migration documentation**: Added migration documentation
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### Bug Fixes
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- **Model Customization bugs**: Fixed multiple issues in Model Customization functionality
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- **Default stopping condition removal**: Removed default stopping condition for MC trainer to prevent conflicts
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- **Instance groups parameter handling**: Fixed issue where default instance_type/instance_count were incorrectly applied when instance_groups was set
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- **JumpStart alt config resolution**: Resolved alternative configuration resolution for JumpStart models
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- **Inference processor naming**: Updated inference processor identifier from 'inf2' to 'neuronx'
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- **HuggingFace Neuronx PyTorch version**: Corrected the PyTorch version for HuggingFace Neuronx
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- **License additions**: Added license to sagemaker-mlops and sagemaker-serve packages
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## v3.4.1 (2026-02-10)
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### Fixes
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- **Pipelines**: Correct Tag class usage in pipeline creation (#5526)
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- **ModelTrainer**: Support PipelineVariables in hyperparameters (#5519)
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- **HyperparameterTuner**: Include ModelTrainer internal channels (#5516)
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- **Experiments**: Don't apply default experiment config for pipelines in non-Eureka GA
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regions (#5500)
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### Features
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- **JumpStart**: Added ISO regions support (#5505)
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- **JumpStart**: Added version 1.4 and 1.5 (#5538)
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### Chores
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- Added unit and integration tests for JumpStart search functionality (#5544)
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- Removed java-kotlin from CodeQL workflow (#5517)
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## v3.4.0 (2026-01-22)
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### Features
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- feat: add emr-serverless step for SageMaker Pipelines
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### Bug fixes and Other Changes
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- Add Nova recipe training support in ModelTrainer
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- Add Partner-app Auth provider
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- Add sagemaker dependency for remote function by default V3
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## v3.3.1 (2026-01-12)
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### Bug fixes and Other Changes

VERSION

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3.3.1
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3.5.0

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