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Merge branch 'master' into dacorvo-fix-hf-vllm-image-uri
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‎.github/workflows/codeql.yml‎

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include:
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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

‎.readthedocs.yaml‎

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python:
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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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path: .
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extra_requirements:

‎CHANGELOG.md‎

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# Changelog
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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

‎VERSION‎

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3.4.0
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‎pyproject.toml‎

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"Programming Language :: Python :: 3.12",
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dependencies = [
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"sagemaker-core>=2.4.0,<3.0.0",
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"sagemaker-train>=1.4.0,<2.0.0",
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"sagemaker-serve>=1.4.0,<2.0.0",
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"sagemaker-mlops>=1.4.0,<2.0.0",
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"sagemaker-core>=2.4.1,<3.0.0",
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"sagemaker-train>=1.4.1,<2.0.0",
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"sagemaker-serve>=1.4.1,<2.0.0",
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"sagemaker-mlops>=1.4.1,<2.0.0",
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[project.optional-dependencies]

‎sagemaker-core/CHANGELOG.md‎

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# Changelog
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## v2.4.1 (2026-02-10)
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### Bug fixes and Other Changes
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- fix: Support PipelineVariables in ModelTrainer hyperparameters (#5519)
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- enhancement: Added ISO regions for JumpStart (#5505)
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- enhancement: Added AutoGluon versions 1.4 and 1.5 (#5538)
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- test: Added unit and integration tests for JumpStart search functionality (#5544)
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## v2.4.0 (2026-01-22)
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‎sagemaker-core/VERSION‎

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‎sagemaker-core/example_notebooks/get_started.ipynb‎

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"metadata": {},
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"outputs": [],
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"source": [
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"image = '141502667606.dkr.ecr.eu-west-1.amazonaws.com/sagemaker-xgboost:1.7-1'"
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"from sagemaker.core import image_uris\n",
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"\n",
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"image = image_uris.retrieve(\n",
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" framework=\"xgboost\",\n",
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" region=region,\n",
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" version='1.7-1'\n",
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")"
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "temp_env",
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"language": "python",
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"name": "python3"
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‎sagemaker-core/example_notebooks/inference_and_resource_chaining.ipynb‎

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"metadata": {},
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"source": [
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"# Image name is hardcoded here\n",
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"# Image name can be programatically got by using sagemaker package and calling image_uris.retrieve\n",
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"# Since that is a high level abstraction that has multiple dependencies, the image URIs functionalities will live in sagemaker (V2)\n",
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"from sagemaker.core import image_uris\n",
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"\n",
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"image = \"433757028032.dkr.ecr.us-west-2.amazonaws.com/xgboost:latest\""
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"image = image_uris.retrieve(\n",
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" framework=\"xgboost\",\n",
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" region=region,\n",
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" version='latest'\n",
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")"
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‎sagemaker-core/example_notebooks/intelligent_defaults_and_logging.ipynb‎

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"metadata": {},
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"# Image name is hardcoded here\n",
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"# Image name can be programatically got by using sagemaker package and calling image_uris.retrieve\n",
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"# Since that is a high level abstraction that has multiple dependencies, the image URIs functionalities will live in sagemaker (V2)\n",
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"from sagemaker.core import image_uris\n",
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"\n",
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"image = \"433757028032.dkr.ecr.us-west-2.amazonaws.com/xgboost:latest\""
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"image = image_uris.retrieve(\n",
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" framework=\"xgboost\",\n",
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" region=region,\n",
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" version='latest'\n",
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")"
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]
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{

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