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prepare release v2.236.0
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CHANGELOG.md

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# Changelog
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## v2.236.0 (2024-12-04)
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### Features
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* Partner App Auth Provider for SDK support
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* add pre-processing and post-processing logic to inference_spec
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* add utility function to capture local snapshot
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* support script mode with local train.sh
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### Bug Fixes and Other Changes
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* Add graphene to doc requirements
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* Add graphne to the doc requirements
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* Enable the Recipe tests marked with @pytest.mark.skip(reason="Hyperpod recipe code unavailable"
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* Add model trainer documentation
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* Usage docs for training recipes
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* Neuron URIs update
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* Update URIs to public for training recipes
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* Changes for SMP v2.7.0
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* Change default source directory to current, add option to specify source dir
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* Remove default values for fields in recipe_overrides and fix recipe path.
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* Update MANIFEST.in so that wheel builds correctly
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* fix the file uploading signature verification error
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* remove example notebooks artifacts
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* Morpheus tests
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* Integ tests for local mode model trainer
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* Update hyperpod recipe uris
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* Add interface units for ModelTrainer
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* Model Trainer Bucket improvements
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* Update ModelTrainer Interface Parameters
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* add in-process mode definition to docs
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* Intelligent defaults for Model Trainer
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* Fix tests and codestyle
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* add integ test for base_model_builder_deploy and remove print statement
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* Revert image builder
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* pin xgboost dlc to 1.7.1 to fix test
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* Skip JS model mapping with env vars or image URI provided
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* Use sagemaker core Session
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* Integration tests for Model Builder Handshake
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* [Updated] Add telemetry to ModelTrainer, Estimator and ModelBuilder
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* Update kandinsky in ModelTrainer and allow setting requirements
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* add modelID support to model builder InProcess model
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* Add Rich Logging to Model Builder
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* Notebooks update for Bugbash
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* Add bugbash bootstrapping
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* add inference morpheus nbs
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* Update ModelTrainer Notebooks
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* Bug fixes
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* Single container local training
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* update notebooks
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* update notebooks
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* Add recipes examples
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* Unified Deployment interface in Model Builder
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* Use exact python path in trainer template
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* Support building image from Dockerfile
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* Add Support for Training Recipes
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* Trainer handshake
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* Pass hyperparameters as CLI args
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* Add in_process mode support for DJL and TorchServe servers
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* Remove ignored files
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* Simplify Config Class Names and DistributedRunner structures
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* Fix bug in script mode setup ModelTrainer
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* Mask Sensitive Env Logs in Container
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* Add path to set Additional Settings in ModelTrainer
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* Add Distributed Training Support Model Trainer
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* Cleanup ModelTrainer code
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* Latest Container Image
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* General image builder
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* Cleanup ModelTrainer
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* Revert Image Spec
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* Support intelligent parameters
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* Add enviornment variable bootstrapping script
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* Add example notebook
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* Add unit tests for ModelTrainer
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* Image Spec refactoring and updates
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* Base model trainer
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## v2.235.2 (2024-11-22)
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## v2.235.1 (2024-11-20)

VERSION

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2.235.3.dev0
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2.236.0

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