sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

APACHE-2.0 License

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sagemaker-python-sdk - v2.101.0

Published by sagemaker-bot about 2 years ago

Features

  • Algorithms region launch on CGK
  • enhance-bucket-override-support
  • infer framework and version
  • support clarify bias detection when facets not included
  • Add CGK region to frameworks by DLC

Bug Fixes and Other Changes

  • Make repack step output path align with model repack path
  • Support parameterized source code input for TrainingStep

Documentation Changes

  • heterogeneous cluster api doc fix
  • smdmp v1.10 release note
sagemaker-python-sdk - v2.100.0

Published by sagemaker-bot over 2 years ago

Features

  • upgrade to support python 3.10
  • Add target_model to support multi-model endpoints
  • Added support for feature group schema change and feature parameters

Bug Fixes and Other Changes

  • enable model.register without 'inference' & 'transform' instances
  • rename RegisterModel inner steps to prevent duplicate step names
  • remove primitive_or_expr() from conditions
  • support pipeline variables for spark processors run arguments
  • make 'ModelInput' field optional for inference recommendation
  • Fix processing image uri param
  • fix: neo inferentia as compilation target not using framework ver

Documentation Changes

  • SageMaker model parallel library v1.10.0 documentation
  • add detail & links to clarify docstrings
sagemaker-python-sdk - v2.99.0

Published by sagemaker-bot over 2 years ago

Features

  • heterogeneous cluster set up in distribution config
  • support heterogeneous cluster for training
  • include fields to work with inference recommender

Bug Fixes and Other Changes

  • Moving the newly added field instance_group to the end of method
  • image_uri does not need to be specified with instance_groups
  • Loosen version of attrs dependency
  • Add PipelineVariable annotation in estimatory, processing, tuner, transformer base classes
  • model table link

Documentation Changes

  • documentation for heterogeneous cluster
sagemaker-python-sdk - v2.98.0

Published by sagemaker-bot over 2 years ago

Features

  • Adding deepar image

Documentation Changes

  • edit to clarify how to use inference.py
sagemaker-python-sdk - v2.97.0

Published by sagemaker-bot over 2 years ago

Deprecations and Removals

  • remove support for python 3.6

Features

  • update prebuilt models documentation

Bug Fixes and Other Changes

  • Skipping test_candidate_estimator_default_rerun_and_deploy
  • Update model name from 'compiled.pt' to 'model.pth' for neo
  • update pytest, skip hf integ temp
  • Add override_pipeline_parameter_var decorator to give grace period to update invalid pipeline var args
sagemaker-python-sdk - v2.96.0

Published by sagemaker-bot over 2 years ago

Features

  • Add helper method to generate pipeline adjacency list

Bug Fixes and Other Changes

  • changing trcomp integ tests to be able to run in all regions
sagemaker-python-sdk - v2.95.0

Published by sagemaker-bot over 2 years ago

Features

  • Adding Training Compiler support for TensorFlow estimator starting TF 2.9
  • Add support for TF 2.9 training

Bug Fixes and Other Changes

  • integs fallback from p3 to p2 instance
  • bucket exists check for session.default_bucket
  • make instance type fields as optional

Documentation Changes

  • improvements on the docstring of ModelStep
  • Add XGBoostProcessor
sagemaker-python-sdk - v2.94.0

Published by sagemaker-bot over 2 years ago

Features

  • AutoGluon 0.4.2 image_uris support
sagemaker-python-sdk - v2.93.1

Published by sagemaker-bot over 2 years ago

Bug Fixes and Other Changes

  • add input parameterization tests for workflow job steps
  • add parameterized tests to transformer
sagemaker-python-sdk - v2.93.0

Published by sagemaker-bot over 2 years ago

Features

  • MxNet 1.9 support

Bug Fixes and Other Changes

  • bump importlib-metadata version upperbound to support TF2.9
  • fix pipeline doc code example where process.run only accepts argument
  • Fix Tensorflow default model_dir generation when output_path is pipeline variable
  • Support transformer data parameterization
sagemaker-python-sdk - v2.92.2

Published by sagemaker-bot over 2 years ago

Bug Fixes and Other Changes

  • turn off Pipeline Parameter inheritance from python primitives
  • Add more validations for pipeline step new interfaces
  • Changed method description per AWS request
sagemaker-python-sdk - v2.92.1

Published by sagemaker-bot over 2 years ago

Bug Fixes and Other Changes

  • pin protobuf to < 4.0 to fix breaking change
sagemaker-python-sdk - v2.92.0

Published by sagemaker-bot over 2 years ago

Features

  • add 'Domain' property to RegisterModel step

Bug Fixes and Other Changes

  • support estimator output path parameterization
  • Add back Prevent passing PipelineVariable object into image_uris.retrieve
  • jumpstart amt tracking
  • fix missing register method params for framework models
  • fix docstring for decorated functions
  • Documents: add sagemaker model building pipeline readthedocs
sagemaker-python-sdk - v2.91.1

Published by sagemaker-bot over 2 years ago

Bug Fixes and Other Changes

  • Revert Prevent passing PipelineVariable object into image_uris.retrieve
sagemaker-python-sdk - v2.91.0

Published by sagemaker-bot over 2 years ago

Features

  • Support Properties for StepCollection

Bug Fixes and Other Changes

  • Prevent passing PipelineVariable object into image_uris.retrieve
  • support image_uri being property ref for model
  • ResourceConflictException from AWS Lambda on pipeline upsert

Documentation Changes

  • release notes for SMDDP 1.4.1 and SMDMP 1.9.0
sagemaker-python-sdk - v2.90.0

Published by sagemaker-bot over 2 years ago

Features

  • Add ModelStep for SageMaker Model Building Pipeline

Bug Fixes and Other Changes

  • update setup.py to add minimum python requirement of 3.6
sagemaker-python-sdk - v2.89.0

Published by sagemaker-bot over 2 years ago

Features

  • Add PT 1.11 support
  • add validation specification

Bug Fixes and Other Changes

  • repack model locally when local_code local mode

Documentation Changes

  • smdmp 1.8.1 release note
sagemaker-python-sdk - v2.88.3

Published by sagemaker-bot over 2 years ago

Bug Fixes and Other Changes

  • deprecate: Remove deprecated argument s3_data_distribution_type
  • Feat/jumpstart model table update
sagemaker-python-sdk - v2.88.2

Published by sagemaker-bot over 2 years ago

Bug Fixes and Other Changes

  • Automl integ describe job check
  • Implement subclass compatibility for workflow pipeline job steps
sagemaker-python-sdk - v2.88.1

Published by sagemaker-bot over 2 years ago

Bug Fixes and Other Changes

  • Add encryption setting to tar_and_upload_dir method