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