sagemaker-python-sdk

Features

• Add support for Callback steps in model building pipelines

Features

• support endpoint_name_prefix, seed and version for Clarify

Features

• add xgboost framework version 1.3-1

Bug Fixes and Other Changes

• remove duplicated tags in _append_project_tags

Bug Fixes and Other Changes

• default value removed if zero for integer param

Features

• support for custom pipeline execution name
• Add data ingestion only data-wrangler flow recipe generation helper function

Bug Fixes and Other Changes

• add kms key for processing job code upload
• remove failing notebooks from notebook pr test
• fix in and not in condition bug
• Update overview.rst

Documentation Changes

• Update "Ask a question" contact link
• Update smdp docs with sparse_as_dense support

Features

• add pipeline experiment config
• add data wrangler processor
• support RetryStrategy for training jobs

Bug Fixes and Other Changes

• fix repack pipeline step by putting inference.py in "code" sub dir
• add data wrangler image uri
• fix black-check errors

Features

• add xgboost framework version 1.2-2

Bug Fixes and Other Changes

• fix get_execution_role on Studio
• [fix] Check py_version existence in RegisterModel step

Documentation Changes

• SM Distributed EFA Launch

Bug Fixes and Other Changes

• RegisterModel step and custom dependency support

Documentation Changes

• reverting SageMaker distributed data parallel EFA doc updates
• adding new version, SM dist. data parallel 1.2.0.
• add current Hugging Face supported versions
• SMDDP 1.2.0 release notes

Testing and Release Infrastructure

• disable smdataparallel tests

Features

• Add HF transformer version 4.5.0

Bug Fixes and Other Changes

• Allow hyperparameters in Tensorflow estimator to be parameterized

Testing and Release Infrastructure

• black format unit tests

Features

• support multiprocess feature group ingest (#2111)

Features

• add experiment_config for clarify processing job

Documentation Changes

• release notes for smdistributed.dataparallel v1.1.2

Features

• enable smdataparallel custom mpi options support

Features

• add support for PyTorch 1.8.1

Bug Fixes and Other Changes

• boto3 client param updated for feature store
• Updated release notes and API doc for smd model parallel 1.3.1

Features

• Add support for accelerator in Clarify

Bug Fixes and Other Changes

• add Documentation for how to use
• enable local mode tests that were skipped
• add integ test for HuggingFace with TensorFlow

Documentation Changes

• release notes for smdistributed.dataparallel v1.1.1
• fixing the SageMaker distributed version references

Testing and Release Infrastructure

• pin version for ducutils

Features

• Add environment variable support for SageMaker training job

Bug Fixes and Other Changes

• add version length mismatch validation for HuggingFace
• Disable debugger when checkpointing is enabled with distributed training
• map user context is list associations response

Testing and Release Infrastructure

• disable_profiler on mx-horovod test

Bug Fixes and Other Changes

• disable profiler in some release tests
• remove outdated notebook from test
• add compilation option for ml_eia2
• add short version to smdataparallel supported list

Documentation Changes

• creating a "latest" version sm distributed docs
• add docs for Sagemaker Model Parallel 1.3, released with PT 1.8
• update PyTorch version in doc

Features

• upgrade neo mxnet to 1.8
• Enable Profiler in China Regions

Bug Fixes and Other Changes

• use workflow parameters in training hyperparameters (#2114) (#2115)
• skip HuggingFace tests in regions without p2 instances

Documentation Changes

• add Feature Store methods docs

Bug Fixes and Other Changes

• added documentation for Hugging Face Estimator
• mark HuggingFace tests as release tests

Documentation Changes

• adding version 1.1.0 docs for smdistributed.dataparallel

Features

• add HuggingFace framework estimator
• update TF framework version support
• Support all processor types in ProcessingStep

Bug Fixes and Other Changes

• Add pipelines functions.