fix(deploy): update dependency sagemaker to v2.236.0

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
sagemaker	==2.235.2 -> ==2.236.0

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Release Notes

aws/sagemaker-python-sdk (sagemaker)

v2.236.0

Compare Source

Features

• Partner App Auth Provider for SDK support
• add pre-processing and post-processing logic to inference_spec
• add utility function to capture local snapshot
• support script mode with local train.sh

Bug Fixes and Other Changes

• Add graphene to doc requirements
• Add graphne to the doc requirements
• Enable the Recipe tests marked with @​pytest.mark.skip(reason="Hyperpod recipe code unavailable"
• Add model trainer documentation
• Usage docs for training recipes
• Neuron URIs update
• Update URIs to public for training recipes
• Changes for SMP v2.7.0
• Change default source directory to current, add option to specify source dir
• Remove default values for fields in recipe_overrides and fix recipe path.
• Update MANIFEST.in so that wheel builds correctly
• fix the file uploading signature verification error
• remove example notebooks artifacts
• Morpheus tests
• Integ tests for local mode model trainer
• Update hyperpod recipe uris
• Add interface units for ModelTrainer
• Model Trainer Bucket improvements
• Update ModelTrainer Interface Parameters
• add in-process mode definition to docs
• Intelligent defaults for Model Trainer
• Fix tests and codestyle
• add integ test for base_model_builder_deploy and remove print statement
• Revert image builder
• pin xgboost dlc to 1.7.1 to fix test
• Skip JS model mapping with env vars or image URI provided
• Use sagemaker core Session
• Integration tests for Model Builder Handshake
• [Updated] Add telemetry to ModelTrainer, Estimator and ModelBuilder
• Update kandinsky in ModelTrainer and allow setting requirements
• add modelID support to model builder InProcess model
• Add Rich Logging to Model Builder
• Notebooks update for Bugbash
• Add bugbash bootstrapping
• add inference morpheus nbs
• Update ModelTrainer Notebooks
• Bug fixes
• Single container local training
• update notebooks
• update notebooks
• Add recipes examples
• Unified Deployment interface in Model Builder
• Use exact python path in trainer template
• Support building image from Dockerfile
• Add Support for Training Recipes
• Trainer handshake
• Pass hyperparameters as CLI args
• Add in_process mode support for DJL and TorchServe servers
• Remove ignored files
• Simplify Config Class Names and DistributedRunner structures
• Fix bug in script mode setup ModelTrainer
• Mask Sensitive Env Logs in Container
• Add path to set Additional Settings in ModelTrainer
• Add Distributed Training Support Model Trainer
• Cleanup ModelTrainer code
• Latest Container Image
• General image builder
• Cleanup ModelTrainer
• Revert Image Spec
• Support intelligent parameters
• Add enviornment variable bootstrapping script
• Add example notebook
• Add unit tests for ModelTrainer
• Image Spec refactoring and updates
• Base model trainer

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[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud

[github-actions]

🎉 This PR is included in version 1.128.0 🎉

The release is available on GitHub release

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