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v2.236.0
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@sagemaker-bot sagemaker-bot released this 04 Dec 15:50
· 26 commits to master since this release
v2.236.0
99aedd0

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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