Skip to content

Bump sagemaker from 2.242.0 to 3.4.0#171

Open
dependabot[bot] wants to merge 1 commit intomainfrom
dependabot/pip/sagemaker-3.4.0
Open

Bump sagemaker from 2.242.0 to 3.4.0#171
dependabot[bot] wants to merge 1 commit intomainfrom
dependabot/pip/sagemaker-3.4.0

Conversation

@dependabot
Copy link

@dependabot dependabot bot commented on behalf of github Mar 5, 2026

Bumps sagemaker from 2.242.0 to 3.4.0.

Release notes

Sourced from sagemaker's releases.

v3.4.0

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

v3.3.1

Bug fixes and Other Changes

  • ProcessingJob fix - Remove tags in Processor while Job creation
  • Telemetry Updates
  • sagemaker-mlops bug fix - Correct source code 'dependencies' parameter to 'requirements'
  • aws_batch bug fix - remove experiment config parameter as it Estimator is deprecated.

v3.3.0

Features

  • AWS_Batch: queueing of training jobs with ModelTrainer

Bug fixes and Other Changes

  • Fixes for model registry with ModelBuilder

v3.2.0

Features

  • Evaluator handshake with trainer
  • Datasets Format validation

Bug fixes and Other Changes

  • Add xgboost 3.0-5 to release
  • Fix get_child_process_ids parsing issue

v3.1.1

Bug fixes and Other Changes

  • Fine-tuning SDK:
    • Add validation to bedrock reward models
    • Hyperparameter issue fixes, Add validation s3 output path
    • Fix the recipe selection for multiple recipe scenario
    • Train wait() timeout exception handling
    • Update example notebooks to reflect recent code changes

v3.1.0

Model Fine-Tuning Support in SageMaker Python SDK V3

We’re excited to introduce comprehensive model fine-tuning capabilities in the SageMaker Python SDK V3, bringing state-of-the-art fine-tuning techniques to production ML workflows. Fine-tune foundation models with enterprise features including automated experiment tracking, serverless infrastructure, and integrated evaluation—all with just a few lines of code.

What's New

The SageMaker Python SDK V3 now includes four specialized Fine-Tuning Trainers for different fine-tuning techniques. Each trainer is optimized for specific use cases, following established research and industry best practices:

... (truncated)

Changelog

Sourced from sagemaker's changelog.

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

v3.3.1 (2026-01-12)

Bug fixes and Other Changes

  • ProcessingJob fix - Remove tags in Processor while Job creation
  • Telemetry Updates
  • sagemaker-mlops bug fix - Correct source code 'dependencies' parameter to 'requirements'
  • aws_batch bug fix - remove experiment config parameter as it Estimator is deprecated.

v3.3.0 (2025-12-19)

Features

  • AWS_Batch: queueing of training jobs with ModelTrainer

Bug fixes and Other Changes

  • Fixes for model registry with ModelBuilder

v3.2.0 (2025-12-18)

Features

  • Evaluator handshake with trainer
  • Datasets Format validation

Bug fixes and Other Changes

  • Add xgboost 3.0-5 to release
  • Fix get_child_process_ids parsing issue

v3.1.1 (2025-12-10)

Bug fixes and Other Changes

  • Add validation to bedrock reward models
  • Hyperparameter issue fixes, Add validation s3 output path
  • Fix the recipe selection for multiple recipe scenario
  • Train wait() timeout exception handling
  • Update example notebooks to reflect recent code changes
  • Update model_package_group_name param to model_package_group in finetuning interfaces
  • remove dataset param for benchmark evaluator

v3.1.0 (2025-12-03)

Features

... (truncated)

Commits

Dependabot compatibility score

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
  • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
    You can disable automated security fix PRs for this repo from the Security Alerts page.

Bumps [sagemaker](https://github.com/aws/sagemaker-python-sdk) from 2.242.0 to 3.4.0.
- [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@v2.242.0...v3.4.0)

---
updated-dependencies:
- dependency-name: sagemaker
  dependency-version: 3.4.0
  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 5, 2026
@meta-cla meta-cla bot added the CLA Signed This label is managed by the Meta Open Source bot. label Mar 5, 2026
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

CLA Signed This label is managed by the Meta Open Source bot. dependencies Pull requests that update a dependency file python Pull requests that update python code

Projects

None yet

Development

Successfully merging this pull request may close these issues.

0 participants