| # Changelog |
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| ## v2.113.0 (2022-10-21) |
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| ### Features |
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| * support torch_distributed distribution for Trainium instances |
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| ### Bug Fixes and Other Changes |
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| * bump apache-airflow from 2.4.0 to 2.4.1 in /requirements/extras |
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| ### Documentation Changes |
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| * fix kwargs and descriptions of the smdmp checkpoint function |
| * add the doc for the MonitorBatchTransformStep |
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| ## v2.112.2 (2022-10-11) |
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| ### Bug Fixes and Other Changes |
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| * Update Neo-TF2.x versions to TF2.9(.2) |
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| ### Documentation Changes |
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| * fix typo in PR template |
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| ## v2.112.1 (2022-10-10) |
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| ### Bug Fixes and Other Changes |
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| * fix(local-mode): loosen docker requirement to allow 6.0.0 |
| * CreateModelPackage API error for Scikit-learn and XGBoost frameworkss |
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| ## v2.112.0 (2022-10-09) |
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| ### Features |
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| * added monitor batch transform step (pipeline) |
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| ### Bug Fixes and Other Changes |
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| * Add PipelineVariable annotation to framework estimators |
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| ## v2.111.0 (2022-10-05) |
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| ### Features |
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| * Edit test file for supporting TF 2.10 training |
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| ### Bug Fixes and Other Changes |
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| * support kms key in processor pack local code |
| * security issue by bumping apache-airflow from 2.3.4 to 2.4.0 |
| * instance count retrieval logic |
| * Add regex for short-form sagemaker-xgboost tags |
| * Upgrade attrs>=20.3.0,<23 |
| * Add PipelineVariable annotation to Amazon estimators |
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| ### Documentation Changes |
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| * add context for pytorch |
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| ## v2.110.0 (2022-09-27) |
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| ### Features |
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| * Support KeepAlivePeriodInSeconds for Training APIs |
| * added ANALYSIS_CONFIG_SCHEMA_V1_0 in clarify |
| * add model monitor image accounts for ap-southeast-3 |
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| ### Bug Fixes and Other Changes |
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| * huggingface release test |
| * Fixing the logic to return instanceCount for heterogeneousClusters |
| * Disable type hints in doc signature and add PipelineVariable annotations in docstring |
| * estimator hyperparameters in script mode |
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| ### Documentation Changes |
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| * Added link to example notebook for Pipelines local mode |
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| ## v2.109.0 (2022-09-09) |
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| ### Features |
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| * add search filters |
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| ### Bug Fixes and Other Changes |
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| * local pipeline step argument parsing bug |
| * support fail_on_violation flag for check steps |
| * fix links per app security scan |
| * Add PipelineVariable annotation for all processor subclasses |
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| ### Documentation Changes |
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| * the SageMaker model parallel library 1.11.0 release |
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| ## v2.108.0 (2022-09-02) |
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| ### Features |
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| * Adding support in HuggingFace estimator for Training Compiler enhanced PyTorch 1.11 |
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| ### Bug Fixes and Other Changes |
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| * add sagemaker clarify image account for cgk region |
| * set PYTHONHASHSEED env variable to fixed value to fix intermittent failures in release pipeline |
| * trcomp fixtures to override default fixtures for integ tests |
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| ### Documentation Changes |
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| * add more info about volume_size |
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| ## v2.107.0 (2022-08-29) |
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| ### Features |
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| * support python 3.10, update airflow dependency |
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| ### Bug Fixes and Other Changes |
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| * Add retry in session.py to check if training is finished |
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| ### Documentation Changes |
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| * remove Other tab in Built-in algorithms section and mi… |
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| ## v2.106.0 (2022-08-24) |
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| ### Features |
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| * Implement Kendra Search in RTD website |
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| ### Bug Fixes and Other Changes |
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| * Add primitive_or_expr() back to conditions |
| * remove specifying env-vars when creating model from model package |
| * Add CGK in config for Spark Image |
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| ## v2.105.0 (2022-08-19) |
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| ### Features |
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| * Added endpoint_name to clarify.ModelConfig |
| * adding workgroup functionality to athena query |
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| ### Bug Fixes and Other Changes |
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| * disable debugger/profiler in cgk region |
| * using unique name for lineage test to unblock PR checks |
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| ### Documentation Changes |
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| * update first-party algorithms and structural updates |
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| ## v2.104.0 (2022-08-17) |
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| ### Features |
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| * local mode executor implementation |
| * Pipelines local mode setup |
| * Add PT 1.12 support |
| * added _AnalysisConfigGenerator for clarify |
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| ### Bug Fixes and Other Changes |
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| * yaml safe_load sagemaker config |
| * pipelines local mode minor bug fixes |
| * add local mode integ tests |
| * implement local JsonGet function |
| * Add Pipeline annotation in model base class and tensorflow estimator |
| * Allow users to customize trial component display names for pipeline launched jobs |
| * Update localmode code to decode urllib response as UTF8 |
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| ### Documentation Changes |
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| * New content for Pipelines local mode |
| * Correct documentation error |
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| ## v2.103.0 (2022-08-05) |
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| ### Features |
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| * AutoGluon 0.4.3 and 0.5.2 image_uris |
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| ### Bug Fixes and Other Changes |
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| * Revert "change: add a check to prevent launching a modelparallel job on CPU only instances" |
| * Add gpu capability to local |
| * Link PyTorch 1.11 to 1.11.0 |
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| ## v2.102.0 (2022-08-04) |
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| ### Features |
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| * add warnings for xgboost specific rules in debugger rules |
| * Add PyTorch DDP distribution support |
| * Add test for profiler enablement with debugger_hook false |
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| ### Bug Fixes and Other Changes |
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| * Two letter language code must be supported |
| * add a check to prevent launching a modelparallel job on CPU only instances |
| * Allow StepCollection added in ConditionStep to be depended on |
| * Add PipelineVariable annotation in framework models |
| * skip managed spot training mxnet nb |
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| ### Documentation Changes |
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| * smdistributed libraries currency updates |
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| ## v2.101.1 (2022-07-28) |
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| ### Bug Fixes and Other Changes |
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| * added more ml frameworks supported by SageMaker Workflows |
| * test: Vspecinteg2 |
| * Add PipelineVariable annotation in amazon models |
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| ## v2.101.0 (2022-07-27) |
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| ### Features |
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| * 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 |
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| ### Bug Fixes and Other Changes |
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| * Make repack step output path align with model repack path |
| * Support parameterized source code input for TrainingStep |
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| ### Documentation Changes |
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| * heterogeneous cluster api doc fix |
| * smdmp v1.10 release note |
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| ## v2.100.0 (2022-07-18) |
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| ### Features |
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| * upgrade to support python 3.10 |
| * Add target_model to support multi-model endpoints |
| * Added support for feature group schema change and feature parameters |
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| ### Bug Fixes and Other Changes |
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| * 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 |
|
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| ### Documentation Changes |
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| * SageMaker model parallel library v1.10.0 documentation |
| * add detail & links to clarify docstrings |
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| ## v2.99.0 (2022-07-08) |
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| ### Features |
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| * heterogeneous cluster set up in distribution config |
| * support heterogeneous cluster for training |
| * include fields to work with inference recommender |
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| ### Bug Fixes and Other Changes |
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| * 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 |
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| ### Documentation Changes |
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| * documentation for heterogeneous cluster |
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| ## v2.98.0 (2022-07-05) |
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| ### Features |
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| * Adding deepar image |
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| ### Documentation Changes |
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| * edit to clarify how to use inference.py |
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| ## v2.97.0 (2022-06-28) |
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| ### Deprecations and Removals |
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| * remove support for python 3.6 |
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| ### Features |
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| * update prebuilt models documentation |
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| ### Bug Fixes and Other Changes |
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| * 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 |
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| ## v2.96.0 (2022-06-20) |
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| ### Features |
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| * Add helper method to generate pipeline adjacency list |
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| ### Bug Fixes and Other Changes |
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| * changing trcomp integ tests to be able to run in all regions |
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| ## v2.95.0 (2022-06-16) |
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| ### Features |
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| * Adding Training Compiler support for TensorFlow estimator starting TF 2.9 |
| * Add support for TF 2.9 training |
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| ### Bug Fixes and Other Changes |
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| * integs fallback from p3 to p2 instance |
| * bucket exists check for session.default_bucket |
| * make instance type fields as optional |
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| ### Documentation Changes |
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| * improvements on the docstring of ModelStep |
| * Add XGBoostProcessor |
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| ## v2.94.0 (2022-06-07) |
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| ### Features |
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| * AutoGluon 0.4.2 image_uris support |
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| ## v2.93.1 (2022-06-06) |
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| ### Bug Fixes and Other Changes |
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| * add input parameterization tests for workflow job steps |
| * add parameterized tests to transformer |
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| ## v2.93.0 (2022-06-03) |
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| ### Features |
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| * MxNet 1.9 support |
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| ### Bug Fixes and Other Changes |
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| * 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 |
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| ## v2.92.2 (2022-05-31) |
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| ### Bug Fixes and Other Changes |
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| * turn off Pipeline Parameter inheritance from python primitives |
| * Add more validations for pipeline step new interfaces |
| * Changed method description per AWS request |
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| ## v2.92.1 (2022-05-26) |
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| ### Bug Fixes and Other Changes |
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| * pin protobuf to < 4.0 to fix breaking change |
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| ## v2.92.0 (2022-05-26) |
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| ### Features |
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| * add 'Domain' property to RegisterModel step |
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| ### Bug Fixes and Other Changes |
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| * 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 |
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| ## v2.91.1 (2022-05-19) |
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| ### Bug Fixes and Other Changes |
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| * Revert Prevent passing PipelineVariable object into image_uris.retrieve |
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| ## v2.91.0 (2022-05-19) |
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| ### Features |
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| * Support Properties for StepCollection |
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| ### Bug Fixes and Other Changes |
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| * Prevent passing PipelineVariable object into image_uris.retrieve |
| * support image_uri being property ref for model |
| * ResourceConflictException from AWS Lambda on pipeline upsert |
|
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| ### Documentation Changes |
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| * release notes for SMDDP 1.4.1 and SMDMP 1.9.0 |
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| ## v2.90.0 (2022-05-16) |
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| ### Features |
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| * Add ModelStep for SageMaker Model Building Pipeline |
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| ### Bug Fixes and Other Changes |
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| * update setup.py to add minimum python requirement of 3.6 |
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| ## v2.89.0 (2022-05-11) |
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| ### Features |
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| * Add PT 1.11 support |
| * add validation specification |
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| ### Bug Fixes and Other Changes |
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| * repack model locally when local_code local mode |
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| ### Documentation Changes |
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| * smdmp 1.8.1 release note |
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| ## v2.88.3 (2022-05-06) |
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| ### Bug Fixes and Other Changes |
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| * deprecate: Remove deprecated argument s3_data_distribution_type |
| * Feat/jumpstart model table update |
|
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| ## v2.88.2 (2022-05-02) |
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| ### Bug Fixes and Other Changes |
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| * Automl integ describe job check |
| * Implement subclass compatibility for workflow pipeline job steps |
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| ## v2.88.1 (2022-04-27) |
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| ### Bug Fixes and Other Changes |
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| * Add encryption setting to tar_and_upload_dir method |
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| ## v2.88.0 (2022-04-26) |
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| ### Features |
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| * jumpstart notebook utils -- list model ids, scripts, tasks, frameworks |
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| ### Bug Fixes and Other Changes |
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| * local mode printing of credentials during docker login closes #2180 |
| * disable endpoint context test |
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| ### Documentation Changes |
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| * sm model parallel 1.8.0 release notes |
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| ## v2.87.0 (2022-04-20) |
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| ### Features |
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| * Add Jumpstart example notebooks |
| * add Tensorflow and Pytorch version for SM Training Compiler and expand to regular regions |
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| ### Bug Fixes and Other Changes |
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| * integs for training compiler in non-PDX regions |
| * TrainingStep cache misses due to timestamp based job name |
| * retry context delete |
| * Add more logging when unexpected number of artifacts found |
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| ## v2.86.2 (2022-04-14) |
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| ### Bug Fixes and Other Changes |
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| * #using uuid to randomize, otherwise system timestamp is used |
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| ## v2.86.1 (2022-04-13) |
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| ### Bug Fixes and Other Changes |
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| * xgboost, sklearn network isolation for jumpstart |
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| ### Documentation Changes |
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| * fix minor typo |
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| ## v2.86.0 (2022-04-12) |
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| ### Features |
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| * Adds Spark Processing Notebook to Notebook Tests |
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| ## v2.85.0 (2022-04-11) |
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| ### Features |
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| * update lambda code on pipeline create/update/upsert for Lamb… |
| * jumpstart model url |
| * add serverless inference image_uri retrieve support |
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| ### Bug Fixes and Other Changes |
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| * Add back the Fix for Pipeline variables related customer issues |
| * Support file URIs in ProcessingStep's code parameter |
|
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| ## v2.84.0 (2022-04-07) |
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| ### Features |
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| * dependabot integ - move all deps to requirements.txt |
| * add xgboost framework version 1.5-1 |
|
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| ## v2.83.0 (2022-04-04) |
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| ### Features |
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| * Hugging Face Transformers 4.17 for TF 2.6 |
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| ### Bug Fixes and Other Changes |
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| * IOC image version select issue |
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| ## v2.82.2 (2022-04-01) |
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| ### Bug Fixes and Other Changes |
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| * Revert "fix: Fix Pipeline variables related customer issues (#2959)" |
| * Refactor repack_model script injection, fixes tar.gz error |
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| ## v2.82.1 (2022-03-31) |
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| ### Bug Fixes and Other Changes |
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| * Update Inferentia Image URI Config |
| * Fix Pipeline variables related customer issues |
| * more logging info for static pipeline test data setup |
| |
| ## v2.82.0 (2022-03-30) |
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| ### Features |
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| * pluggable instance fallback mechanism, add CapacityError |
| * support passing Env Vars to local mode training |
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| ## v2.81.1 (2022-03-29) |
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| ### Bug Fixes and Other Changes |
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| * Update black-check version, add support for Spark 3.1 Processing |
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| ## v2.81.0 (2022-03-26) |
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| ### Features |
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| * Retrieve data configuration |
| * enable EnableInterContainerTrafficEncryption for model monitoring |
| * Hugging Face Transformers 4.17 for PT 1.10 |
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| ### Bug Fixes and Other Changes |
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| * remove `new` from serverless |
| * temporarily skip tests impacted by data inconsistency |
| * Implement override solution for pipeline variables |
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| ### Documentation Changes |
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| * add documentation for image_uri serverless use case |
| * minor fixes for smddp 1.4.0 doc |
|
|
| ## v2.80.0 (2022-03-18) |
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| ### Features |
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| * Add support for TF2.7 |
| * Add support for TF 2.8 |
| * TF242 ioc support |
| * Add support for TF 2.6.3 |
| * Support for remote docker host |
| * AutoGluon 0.3.2 and 0.4.0 image_uris |
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| ### Bug Fixes and Other Changes |
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| * Align max_wait definitions in EstimaorBase and Estimator |
| * Add JumpStart model table build notification |
| * gpu integs CapacityError - fallback to available compute |
| * gpu integs CapacityError - fallback to available compute |
| * jumpstart docs network isolation |
|
|
| ### Documentation Changes |
|
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| * sagemaker distributed model parallel 1.7.0 doc |
|
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| ## v2.79.0 (2022-03-16) |
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| ### Features |
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| * Inferentia Neuron support for HuggingFace |
| * custom base job name for jumpstart models/estimators |
| * Python 3.9 for readthedocs |
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| ### Bug Fixes and Other Changes |
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| * container env generation for S3 URI and add test for the same |
|
|
| ### Documentation Changes |
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| * the SageMaker distributed data parallel v1.4.0 release |
| * update sagemaker training compiler docstring |
| * smddp doc update |
|
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| ## v2.78.0 (2022-03-07) |
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| ### Features |
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| * TensorFlow 2.4 for Neo |
| * Data Serializer |
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| ### Bug Fixes and Other Changes |
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| * Style update in DataSerializer |
| * Remove sagemaker_job_name from hyperparameters in TrainingStep |
| * reorganize test files for workflow |
| * update code to get commit_id in codepipeline |
| |
| ## v2.77.1 (2022-02-25) |
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| ### Bug Fixes and Other Changes |
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| * jumpstart model table |
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| ## v2.77.0 (2022-02-22) |
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| ### Features |
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| * override jumpstart content bucket |
| * jumpstart model ID suggestions |
| * adding customer metadata support to registermodel step |
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| ### Bug Fixes and Other Changes |
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| * Improve Pipeline workflow unit test branch coverage |
| * update lineage_trial_compoment get pipeline execution arn |
| * Add lineage doc |
| * Support primitive types for left value of ConditionSteps |
| |
| ## v2.76.0 (2022-02-17) |
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| ### Features |
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| * Add FailStep Support for Sagemaker Pipeline |
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| ### Bug Fixes and Other Changes |
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| * use recommended inference image uri from Neo API |
| * pin test dependencies |
| * Add exception in test_action |
| * Update Static Endpoint |
| * Add CMH to the non-P3 list |
|
|
| ### Documentation Changes |
|
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| * Support for generation of Jumpstart model table on build |
|
|
| ## v2.75.1 (2022-02-08) |
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| ### Bug Fixes and Other Changes |
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| * Add CMH to the non-P3 list |
|
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| ## v2.75.0 (2022-02-05) |
|
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| ### Features |
|
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| * JumpStart Integration |
| * Adds support for async inference |
| * Update instance types for integ test |
|
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| ### Bug Fixes and Other Changes |
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| * Revert "feature: CompilationStep support for Sagemaker Pipelines |
| * gpu use p3/p2 per avail for region |
| * jumpstart typo |
| * pin pytest-xdist to avoid release failures |
| * set sagemaker_connection and image_uri in register method |
| * update to incorporate black v22, pin tox versions |
| * Add deprecation warning in Clarify DataConfig |
|
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| ### Documentation Changes |
|
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| * Jumpstart doc strings and added new sections |
| * Add Jumpstart support documentation |
|
|
| ## v2.74.0 (2022-01-26) |
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| ### Features |
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| * Add support for SageMaker lineage queries context |
|
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| ### Bug Fixes and Other Changes |
|
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| * support specifying a facet by its column index |
|
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| ### Documentation Changes |
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| * more documentation for serverless inference |
|
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| ## v2.73.0 (2022-01-19) |
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| ### Features |
|
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| * Add EMRStep support in Sagemaker pipeline |
| * Adds Lineage queries in artifact, context and trial components |
| * Add support for SageMaker lineage queries in action |
| * Adds support for Serverless inference |
| * support checkpoint to be passed from estimator |
| * support JsonGet/Join parameterization in tuning step Hyperparameters |
| * Support model pipelines in CreateModelStep |
| * enable python 3.9 |
| * Add models_v2 under lineage context |
| |
| ### Bug Fixes and Other Changes |
| |
| * allow kms_key to be passed for processing step |
| * Remove duplicate vertex/edge in query lineage |
| * update pricing link |
| * Update CHANGELOG.md |
| * fixes unnecessary session call while generating pipeline definition for lambda step |
|
|
| ### Documentation Changes |
|
|
| * Enhance smddp 1.2.2 doc |
| * Document the available ExecutionVariables |
|
|
| ## v2.72.3 (2022-01-10) |
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| ### Features |
|
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| * default repack encryption |
| * support large pipeline |
| * add support for pytorch 1.10.0 |
| |
| ### Documentation Changes |
|
|
| * SageMaker model parallel library 1.6.0 API doc |
|
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| ### Bug Fixes and Other Changes |
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| * Model Registration with BYO scripts |
| * Add ContentType in test_auto_ml_describe |
| * Re-deploy static integ test endpoint if it is not found |
| * fix kmeans test deletion sequence, increment lineage statics |
| * Increment static lineage pipeline |
| * Fix lineage query integ tests |
| * Add label_headers option for Clarify ModelExplainabilityMonitor |
| * Add action type to lineage object |
| * Collapse cross-account artifacts in query lineage response |
| * Update CHANGELOG.md to remove defaulting dot characters |
|
|
| ## v2.72.2 (2022-01-06) |
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| ### Bug Fixes and Other Changes |
|
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| * Update CHANGELOG.md |
| * Increment static lineage pipeline |
| * fix kmeans test deletion sequence, increment lineage statics |
| * Re-deploy static integ test endpoint if it is not found |
| * Add ContentType in test_auto_ml_describe |
| * Model Registration with BYO scripts |
| |
| ### Documentation Changes |
| |
| * SageMaker model parallel library 1.6.0 API doc |
| |
| ## v2.72.1 (2021-12-20) |
| |
| ### Bug Fixes and Other Changes |
| |
| * typos and broken link |
| * S3Input - add support for instance attributes |
| * Prevent repack_model script from referencing nonexistent directories |
| * Set ProcessingStep upload locations deterministically to avoid cache |
|
|
| ## v2.72.0 (2021-12-13) |
|
|
| ### Features |
|
|
| * allow conditional parellel builds |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * local mode - support relative file structure |
| * fix endpoint bug |
|
|
| ## v2.71.0 (2021-12-06) |
|
|
| ### Features |
|
|
| * Add support for TF 2.6 |
| * Adding PT 17/18 Repo |
| * Add profile_name support for Feature Store ingestion |
| |
| ### Bug Fixes and Other Changes |
| |
| * Fix non-existent variable name |
| * Add TF 2.6.2 on training |
| * Recreate static lineage test data |
| |
| ## v2.70.0 (2021-12-02) |
| |
| ### Features |
| |
| * update boto3 minor version >= 1.20.18 |
| * Add support for SageMaker lineage queries |
| * add CV shap explainability for SageMaker Clarify |
| * add NLP support for SageMaker Clarify |
| * Add support for ModelMonitor/Clarify integration in model building pipelines |
| * adding support for transformers 4.11 for SM Training Compiler |
| * SM Training Compiler with an UI to enable/disable compilation for HuggingFace DLCs to speedup training |
| |
| ### Bug Fixes and Other Changes |
| |
| * pin coveragepy |
| * Add support for PyTorch 1.9.1 |
| * Update s3 path of scheduling analysis config on ClarifyCheckStep |
| * documentation/logging to indicate correct place for DEBUG artifacts from SM trcomp |
| * validate requested transformers version and use the best available version |
| * Install custom pkgs |
| |
| ## v2.69.0 (2021-11-12) |
| |
| ### Features |
| |
| * Hugging Face Transformers 4.12 for Pt1.9/TF2.5 |
| |
| ## v2.68.0 (2021-11-02) |
| |
| ### Features |
| |
| * CompilationStep support for Sagemaker Pipelines |
| |
| ## v2.67.0 (2021-11-01) |
| |
| ### Deprecations and Removals |
| |
| * deprecate Serverless Lambda model-predictor |
| |
| ### Features |
| |
| * add joinsource to DataConfig |
| * Add support for Partial Dependence Plots(PDP) in SageMaker Clarify |
| |
| ### Bug Fixes and Other Changes |
| |
| * localmode subprocess parent process not sending SIGTERM to child |
| * remove buildspec from repo |
| |
| ## v2.66.2.post0 (2021-10-28) |
| |
| ### Documentation Changes |
| |
| * Update estimator docstrings to add Fast File Mode |
| |
| ## v2.66.2 (2021-10-27) |
| |
| ### Bug Fixes and Other Changes |
| |
| * expose num_clusters parameter for clarify shap in shapconfig |
| * Update cron job to run hourly |
|
|
| ## v2.66.1 (2021-10-26) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * HuggingFace image_uri generation for inference |
| * Update '_' and '/' with '-' in filename creation |
|
|
| ## v2.66.0 (2021-10-25) |
|
|
| ### Features |
|
|
| * Add image_uris.retrieve() support for AutoGluon |
| |
| ### Documentation Changes |
| |
| * fix documentation for input types in estimator.fit |
| * Add JsonGet v2 deprecation |
| |
| ## v2.65.0 (2021-10-21) |
| |
| ### Features |
| |
| * modify RLEstimator to use newly generated Ray image (1.6.0) |
| * network isolation mode for xgboost |
| * update clarify imageURI for PDT |
| |
| ### Bug Fixes and Other Changes |
| |
| * retry downstream_trials test |
| * Add retries to pipeline execution |
|
|
| ## v2.64.0 (2021-10-20) |
|
|
| ### Deprecations and Removals |
|
|
| * warn for deprecation - Lambda model-predictor |
|
|
| ### Features |
|
|
| * Add support for TF 2.5 |
| * Add a pre-push git hook |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * add s3_analysis_config_output_path field in DataConfig constructor |
| * make marketplace jobnames random |
|
|
| ## v2.63.2 (2021-10-18) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * Update timeouts for integ tests from 20 to 40 |
|
|
| ## v2.63.1 (2021-10-14) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * HF estimator attach modified to work with py38 |
|
|
| ## v2.63.0 (2021-10-13) |
|
|
| ### Features |
|
|
| * support configurable retry for pipeline steps |
|
|
| ## v2.62.0 (2021-10-12) |
|
|
| ### Features |
|
|
| * Hugging Face Transformers 4.10 for Pt1.8/TF2.4 & Transformers 4.11 for PT1.9&TF2.5 |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * repack_model script used in pipelines to support source_dir and dependencies |
|
|
| ## v2.61.0 (2021-10-11) |
|
|
| ### Features |
|
|
| * add support for PyTorch 1.9.0 |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * Update TRAINING_DEFAULT_TIMEOUT_MINUTES to 40 min |
| * notebook test for parallel PRs |
| |
| ## v2.60.0 (2021-10-08) |
| |
| ### Features |
| |
| * Add support for Hugging Face 4.10.2 |
| |
| ## v2.59.8 (2021-10-07) |
| |
| ### Bug Fixes and Other Changes |
| |
| * fix feature store ingestion via data wrangler test |
| |
| ## v2.59.7 (2021-10-04) |
| |
| ### Bug Fixes and Other Changes |
| |
| * update feature request label |
| * update bug template |
| |
| ## v2.59.6 (2021-09-30) |
| |
| ### Bug Fixes and Other Changes |
| |
| * ParamValidationError when scheduling a Clarify model monitor |
| |
| ## v2.59.5 (2021-09-29) |
| |
| ### Bug Fixes and Other Changes |
| |
| * support maps in step parameters |
| |
| ## v2.59.4 (2021-09-27) |
| |
| ### Bug Fixes and Other Changes |
| |
| * add checks for ExecutionRole in UserSettings, adds more unit tests |
| * add pytorch 1.8.1 for huggingface |
| |
| ## v2.59.3.post0 (2021-09-22) |
| |
| ### Documentation Changes |
| |
| * Info about offline s3 bucket key when creating feature group |
| |
| ## v2.59.3 (2021-09-20) |
| |
| ## v2.59.2 (2021-09-15) |
| |
| ### Bug Fixes and Other Changes |
| |
| * unit tests for KIX and remove regional calls to boto |
| |
| ### Documentation Changes |
| |
| * Remove Shortbread |
| |
| ## v2.59.1.post0 (2021-09-13) |
| |
| ### Documentation Changes |
| |
| * update experiment config doc on fit method |
| |
| ## v2.59.1 (2021-09-02) |
| |
| ### Bug Fixes and Other Changes |
| |
| * pin docker to 5.0.0 |
| |
| ## v2.59.0 (2021-09-01) |
| |
| ### Features |
| |
| * Add KIX account for SM XGBoost 1.2-2 and 1.3-1 |
| |
| ### Bug Fixes and Other Changes |
| |
| * revert #2572 and address #2611 |
| |
| ## v2.58.0 (2021-08-31) |
| |
| ### Features |
| |
| * update debugger for KIX |
| * support displayName and description for pipeline steps |
| |
| ### Bug Fixes and Other Changes |
| |
| * localmode subprocess parent process not sending SIGTERM to child |
| |
| ## v2.57.0 (2021-08-30) |
| |
| ### Deprecations and Removals |
| |
| * Remove stale S3DownloadMode from test_session.py |
|
|
| ### Features |
|
|
| * update clarify imageURI for KIX |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * propagate KMS key to model.deploy |
| * Propagate tags and VPC configs to repack model steps |
|
|
| ## v2.56.0 (2021-08-26) |
|
|
| ### Features |
|
|
| * Add NEO KIX Configuration |
| * Algorithms region launch on KIX |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * remove dots from CHANGELOG |
|
|
| ## v2.55.0 (2021-08-25) |
|
|
| ### Features |
|
|
| * Add information of Amazon-provided analysis image used by Model Monitor |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * Update Changelog to fix release |
| * Fixing the order of populating container list |
| * pass network isolation config to pipelineModel |
| * Deference symbolic link when create tar file |
| * multiprocess issue in feature_group.py |
| * deprecate tag logic on Association |
| |
| ### Documentation Changes |
| |
| * add dataset_definition to processing page |
|
|
| ## v2.54.0 (2021-08-16) |
|
|
| ### Features |
|
|
| * add pytorch 1.5.1 eia configuration |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * issue #2253 where Processing job in Local mode would call Describe API |
|
|
| ## v2.53.0 (2021-08-12) |
|
|
| ### Features |
|
|
| * support tuning step parameter range parameterization + support retry strategy in tuner |
|
|
| ## v2.52.2.post0 (2021-08-11) |
|
|
| ### Documentation Changes |
|
|
| * clarify that default_bucket creates a bucket |
| * Minor updates to Clarify API documentation |
| |
| ## v2.52.2 (2021-08-10) |
| |
| ### Bug Fixes and Other Changes |
| |
| * sklearn integ tests, remove swallowing exception on feature group delete attempt |
| * sklearn integ test for custom bucket |
| |
| ### Documentation Changes |
| |
| * Fix dataset_definition links |
| * Document LambdaModel and LambdaPredictor classes |
|
|
| ## v2.52.1 (2021-08-06) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * revert #2251 changes for sklearn processor |
|
|
| ## v2.52.0 (2021-08-05) |
|
|
| ### Features |
|
|
| * processors that support multiple Python files, requirements.txt, and dependencies. |
| * support step object in step depends on list |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * enable isolation while creating model from job |
| * update `sagemaker.serverless` integration test |
| * Use correct boto model name for RegisterModelStep properties |
|
|
| ## v2.51.0 (2021-08-03) |
|
|
| ### Features |
|
|
| * add LambdaStep support for SageMaker Pipelines |
| * support JsonGet for all step types |
|
|
| ## v2.50.1 (2021-08-02) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * null checks for uploaded_code and entry_point |
|
|
| ### Documentation Changes |
|
|
| * update sagemaker.estimator.EstimatorBase |
| * Mark baseline as optional in KernelSHAP. |
|
|
| ## v2.50.0 (2021-07-28) |
|
|
| ### Features |
|
|
| * add KIX region to image_uris |
| |
| ### Bug Fixes and Other Changes |
| |
| * Rename `PredictorBase.delete_endpoint` as `PredictorBase.delete_predictor` |
| * incorrect default argument for callback output parameter |
| |
| ### Documentation Changes |
| |
| * Remove years from copyright boilerplate |
| * Fix documentation formatting for PySpark and SparkJar processors |
| |
| ### Testing and Release Infrastructure |
| |
| * enable py38 tox env |
| |
| ## v2.49.2 (2021-07-21) |
| |
| ### Bug Fixes and Other Changes |
| |
| * order of populating container list |
| * upgrade Adobe Analytics cookie to 3.0 |
| |
| ## v2.49.1 (2021-07-19) |
| |
| ### Bug Fixes and Other Changes |
| |
| * Set flag when debugger is disabled |
| * KMS Key fix for kwargs |
| * Update BiasConfig to accept multiple facet params |
| |
| ### Documentation Changes |
| |
| * Update huggingface estimator documentation |
| |
| ## v2.49.0 (2021-07-15) |
| |
| ### Features |
| |
| * Adding serial inference pipeline support to RegisterModel Step |
| |
| ### Documentation Changes |
| |
| * add tuning step get_top_model_s3_uri and callback step to doc |
| * links for HF in sdk |
| * Add Clarify module to Model Monitoring API docs |
| |
| ## v2.48.2 (2021-07-12) |
| |
| ### Bug Fixes and Other Changes |
| |
| * default time for compilation jobs |
| * skip hf inference test |
| |
| ## v2.48.1 (2021-07-08) |
| |
| ### Bug Fixes and Other Changes |
| |
| * skip HF inference test |
| * remove upsert from test_workflow |
|
|
| ### Documentation Changes |
|
|
| * Add Hugging Face docs |
| * add tuning step to doc |
|
|
| ## v2.48.0 (2021-07-07) |
|
|
| ### Features |
|
|
| * HuggingFace Inference |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * add support for SageMaker workflow tuning step |
|
|
| ## v2.47.2.post0 (2021-07-01) |
|
|
| ### Documentation Changes |
|
|
| * smddp 1.2.1 release note / convert md to rst |
| * add smd model parallel 1.4.0 release note / restructure doc files |
|
|
| ## v2.47.2 (2021-06-30) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * handle tags when upsert pipeine |
|
|
| ## v2.47.1 (2021-06-27) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * revert "fix: jsonGet interpolation issue 2426 + allow step depends on pass in step instance (#2477)" |
|
|
| ## v2.47.0 (2021-06-25) |
|
|
| ### Features |
|
|
| * support job_name_prefix for Clarify |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * Add configuration option with headers for Clarify Explainability |
| * jsonGet interpolation issue 2426 + allow step depends on pass in step instance |
| * add default retries to feature group ingestion. |
| * Update using_pytorch.rst |
| * kms key does not propapate in register model step |
| * Correctly interpolate Callback output parameters |
| |
| ## v2.46.1 (2021-06-22) |
| |
| ### Bug Fixes and Other Changes |
| |
| * Register model step tags |
| |
| ### Documentation Changes |
| |
| * update to include new batch_get_record api call |
| * Correct type annotation for TrainingStep inputs |
| * introduce input mode FastFile |
| * update hf transformer version |
| |
| ## v2.46.0 (2021-06-15) |
| |
| ### Features |
| |
| * Add HF transformer version 4.6.1 |
| |
| ### Bug Fixes and Other Changes |
| |
| * encode localmode payload to UTF-8 |
| * call DescribeDomain as fallback in get_execution_role |
| * parameterize PT and TF version for HuggingFace tests |
| |
| ### Documentation Changes |
| |
| * Add import statement in Batch Transform Overview doc |
| |
| ## v2.45.0 (2021-06-07) |
| |
| ### Features |
| |
| * Add support for Callback steps in model building pipelines |
| |
| ## v2.44.0 (2021-06-01) |
| |
| ### Features |
| |
| * support endpoint_name_prefix, seed and version for Clarify |
| |
| ## v2.43.0 (2021-05-31) |
| |
| ### Features |
| |
| * add xgboost framework version 1.3-1 |
| |
| ### Bug Fixes and Other Changes |
| |
| * remove duplicated tags in _append_project_tags |
|
|
| ## v2.42.1 (2021-05-27) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * default value removed if zero for integer param |
|
|
| ## v2.42.0 (2021-05-24) |
|
|
| ### 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 |
|
|
| ## v2.41.0 (2021-05-17) |
|
|
| ### 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 |
|
|
| ## v2.40.0 (2021-05-11) |
|
|
| ### 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 |
| |
| ## v2.39.1 (2021-05-05) |
| |
| ### 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 |
| |
| ## v2.39.0.post0 (2021-05-04) |
| |
| ### Testing and Release Infrastructure |
| |
| * disable smdataparallel tests |
| |
| ## v2.39.0 (2021-04-28) |
| |
| ### 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 |
| |
| ## v2.38.0 (2021-04-21) |
| |
| ### Features |
| |
| * support multiprocess feature group ingest (#2111) |
| |
| ## v2.37.0 (2021-04-20) |
| |
| ### Features |
| |
| * add experiment_config for clarify processing job |
|
|
| ### Documentation Changes |
|
|
| * release notes for smdistributed.dataparallel v1.1.2 |
|
|
| ## v2.36.0 (2021-04-19) |
|
|
| ### Features |
|
|
| * enable smdataparallel custom mpi options support |
|
|
| ## v2.35.0 (2021-04-14) |
|
|
| ### 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 |
|
|
| ## v2.34.0 (2021-04-12) |
|
|
| ### 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 |
|
|
| ## v2.33.0 (2021-04-05) |
|
|
| ### 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 |
| |
| ## v2.32.1 (2021-04-01) |
| |
| ### 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 |
|
|
| ## v2.32.0 (2021-03-26) |
|
|
| ### 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 |
|
|
| ## v2.31.1 (2021-03-23) |
|
|
| ### 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 |
|
|
| ## v2.31.0 (2021-03-23) |
|
|
| ### Features |
|
|
| * add HuggingFace framework estimator |
| * update TF framework version support |
| * Support all processor types in ProcessingStep |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * Add pipelines functions. |
|
|
| ## v2.30.0 (2021-03-17) |
|
|
| ### Features |
|
|
| * add support for PyTorch 1.8.0 |
| * Allow users to send custom attributes to the model endpoint |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * use ResolvedOutputS3Uir for Hive DDL LOCATION |
| * Do lazy initialization in predictor |
|
|
| ## v2.29.2 (2021-03-11) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * move pandas to required dependency from specific use cases |
|
|
| ## v2.29.1 (2021-03-09) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * return all failed row indices in feature_group.ingest |
| * move service-role path parsing for AmazonSageMaker-ExecutionRole for get_execution_role() into except block of IAM get_role() call and add warning message |
| * add description parameter for RegisterModelStep |
| * add type annotations for Lineage |
|
|
| ### Documentation Changes |
|
|
| * remove ellipsis from CHANGELOG.md |
|
|
| ## v2.29.0 (2021-03-04) |
|
|
| ### Features |
|
|
| * add support for TensorFlow 2.4.1 for training, inference and data parallel |
| * Support profiler config in the pipeline training job step |
| * support PyTorch 1.7.1 training, inference and data parallel |
|
|
| ## v2.28.0 (2021-03-03) |
|
|
| ### Features |
|
|
| * support creating endpoints with model images from private registries |
|
|
| ## v2.27.1 (2021-03-03) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * Change Estimator.logs() to use latest_training_job.name |
| * mask creds from docker commands in local mode. Closes #2118 |
|
|
| ### Documentation Changes |
|
|
| * fix pipelines processing step typo |
| * remove double 'enable-network-isolation' description |
|
|
| ## v2.27.0 (2021-03-01) |
|
|
| ### Features |
|
|
| * add inference_id to predict |
| |
| ### Bug Fixes and Other Changes |
| |
| * disable profiler by default for regions not support it |
| |
| ### Documentation Changes |
| |
| * add TF 2.4.1 support to sm distributed data parallel docs and other updates |
| |
| ## v2.26.0 (2021-02-26) |
| |
| ### Features |
| |
| * Add Framework Version support for PyTorch compilation (Neo) |
| |
| ### Bug Fixes and Other Changes |
| |
| * add mxnet 1.7.0 eia configuration |
| * update source constructor for lineage action and artifact |
| |
| ### Documentation Changes |
| |
| * fix typo in create_monitoring_schedule method |
| |
| ## v2.25.2 (2021-02-25) |
| |
| ### Bug Fixes and Other Changes |
| |
| * Use the output path to store the Clarify config file |
| * feature group should ignore nan values |
| * ignore failing smdataparallel test |
| * Add tests for Training job & Transform job in visualizer |
| * visualizer for pipeline processing job steps |
| |
| ### Documentation Changes |
| |
| * update doc for Elastic Inference MXNet 1.7.0 |
| |
| ## v2.25.1 (2021-02-20) |
| |
| ### Bug Fixes and Other Changes |
| |
| * Add tests for visualizer to improve test coverage |
| |
| ### Documentation Changes |
| |
| * specify correct return type |
| |
| ### Testing and Release Infrastructure |
| |
| * rename canary_quick pytest mark to release |
|
|
| ## v2.25.0 (2021-02-19) |
|
|
| ### Features |
|
|
| * Enable step caching |
| * Add other Neo supported regions for Inferentia inference images |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * remove FailStep from pipelines |
| * use sagemaker_session in workflow tests |
| * use ECR public for multidatamodel tests |
| * add the mapping from py3 to cuda11 images |
| * Add 30s cap time for tag tests |
| * add build spec for slow tests |
| * mark top 10 slow tests |
| * remove slow test_run_xxx_monitor_baseline tests |
| * pin astroid to 2.4.2 |
| |
| ### Testing and Release Infrastructure |
| |
| * unmark more flaky integ tests |
| * remove canary_quick pytest mark from flaky/unnecessary tests |
| * remove python3.8 from buildspec |
| * remove py38 tox env |
| * fix release buildspec typo |
| * unblock regional release builds |
| * lower test TPS for experiment analytics |
| * move package preparation and publishing to the deploy step |
|
|
| ## v2.24.5 (2021-02-12) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * test_tag/test_tags method assert fix in association tests |
|
|
| ### Documentation Changes |
|
|
| * removing mention of TF 2.4 from SM distributed model parallel docs |
| * adding details about mpi options, other small updates |
|
|
| ## v2.24.4 (2021-02-09) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * add integration test for listing artifacts by type |
| * List Associations integ tests |
|
|
| ## v2.24.3 (2021-02-04) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * Remove pytest fixture and fix test_tag/s method |
| |
| ## v2.24.2 (2021-02-03) |
| |
| ### Bug Fixes and Other Changes |
| |
| * use 3.5 version of get-pip.py |
| * SM DDP release notes/changelog files |
| |
| ### Documentation Changes |
| |
| * adding versioning to sm distributed data parallel docs |
| |
| ## v2.24.1 (2021-01-28) |
| |
| ### Bug Fixes and Other Changes |
| |
| * fix collect-tests tox env |
| * create profiler specific unsupported regions |
| * Update smd_model_parallel_pytorch.rst |
|
|
| ## v2.24.0 (2021-01-22) |
|
|
| ### Features |
|
|
| * add support for Std:Join for pipelines |
| * Map image name to image uri |
| * friendly names for short URIs |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * increase allowed time for search to get updated |
| * refactor distribution config construction |
|
|
| ### Documentation Changes |
|
|
| * Add SMP 1.2.0 API docs |
|
|
| ## v2.23.6 (2021-01-20) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * add artifact, action, context to virsualizer |
|
|
| ## v2.23.5 (2021-01-18) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * increase time allowed for trial components to index |
|
|
| ## v2.23.4.post0 (2021-01-14) |
|
|
| ### Documentation Changes |
|
|
| * update predict_fn implementation for PyTorch EIA 1.5.1 |
| |
| ## v2.23.4 (2021-01-13) |
| |
| ### Bug Fixes and Other Changes |
| |
| * remove captureWarninig setting |
| |
| ## v2.23.3 (2021-01-12) |
| |
| ### Bug Fixes and Other Changes |
| |
| * improve optional dependency error message |
| * add debugger rule container account in PDT |
| * assert step execution first in pipeline test |
| * add service inserted fields to generated Hive DDL |
| |
| ### Documentation Changes |
| |
| * fix description for max_wait |
| * use correct classpath in V2 alias documentation. |
| * Bad arg name in feat-store ingestion manager |
|
|
| ## v2.23.2 (2021-01-06) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * remove shell=True in subprocess.check_output |
| * use SecurityConfig dict key |
| |
| ### Documentation Changes |
| |
| * remove D212 from ignore to comply with PEP257 standards |
| |
| ## v2.23.1 (2020-12-29) |
| |
| ### Bug Fixes and Other Changes |
| |
| * update git utils temp file |
| * Allow online store only FeatureGroups |
| |
| ### Documentation Changes |
| |
| * inform contributors when not to mark integration tests as canaries |
| * adding change log for smd model parallel |
| |
| ## v2.23.0 (2020-12-23) |
| |
| ### Features |
| |
| * Add support for actions in debugger rules. |
| |
| ### Bug Fixes and Other Changes |
| |
| * include sparkml 2.4 in image uri config properly |
| * Mount metadata dir only if it exists |
| * allow urllib3 1.26 |
| |
| ## v2.22.0 (2020-12-22) |
| |
| ### Features |
| |
| * Support local mode for Amazon SageMaker Processing jobs |
| |
| ### Bug Fixes and Other Changes |
| |
| * Add API enhancements for SMP |
| * adjust naming convention; fix links |
| * lower value used in featurestore test |
| |
| ### Documentation Changes |
| |
| * Update GTDD instructions |
| |
| ## v2.21.0 (2020-12-21) |
| |
| ### Features |
| |
| * remove D205 to enable PEP257 Docstring Conventions |
| |
| ### Bug Fixes and Other Changes |
| |
| * Pin smdebug-rulesconfig to 1.0.0 |
| * use itertuples to ingest pandas dataframe to FeatureStore |
| |
| ## v2.20.0 (2020-12-16) |
| |
| ### Features |
| |
| * add dataset definition support for processing jobs |
| |
| ### Bug Fixes and Other Changes |
| |
| * include workflow integ tests with clarify and debugger enabled |
| * only run DataParallel and EdgePackaging tests in supported regions |
| |
| ### Documentation Changes |
| |
| * fix smp code example, add note for CUDA 11 to sdp |
| * adding note about CUDA 11 to SMP. Small title update PyTorch |
| |
| ## v2.19.0 (2020-12-08) |
| |
| ### Features |
| |
| * add tensorflow 1.15.4 and 2.3.1 as valid versions |
| * add py36 as valid python version for pytorch 1.6.0 |
| * auto-select container version for p4d and smdistributed |
| * add edge packaging job support |
| * Add Clarify Processor, Model Bias, Explainability, and Quality Monitors support. (#494) |
| * add model parallelism support |
| * add data parallelism support (#454) (#511) |
| * support creating and updating profiler in training job (#444) (#526) |
| |
| ### Bug Fixes and Other Changes |
| |
| * bump boto3 and smdebug_rulesconfig versions for reinvent and enable data parallel integ tests |
| * run UpdateTrainingJob tests only during allowed secondary status |
| * Remove workarounds and apply fixes to Clarify and MM integ tests |
| * add p4d to smdataparallel supported instances |
| * Mount metadata directory when starting local mode docker container |
| * add integ test for profiler |
| * Re-enable model monitor integration tests. |
|
|
| ### Documentation Changes |
|
|
| * add SageMaker distributed libraries documentation |
| * update documentation for the new SageMaker Debugger APIs |
| * minor updates to doc strings |
|
|
| ## v2.18.0 (2020-12-03) |
|
|
| ### Features |
|
|
| * all de/serializers support content type |
| * warn on 'Stopped' (non-Completed) jobs |
| * all predictors support serializer/deserializer overrides |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * v2 upgrade tool should ignore cell starting with '%' |
| * use iterrows to iterate pandas dataframe |
| * check for distributions in TF estimator |
|
|
| ### Documentation Changes |
|
|
| * Update link to Sagemaker PyTorch Docker Containers |
| * create artifact restricted to SM context note |
|
|
| ### Testing and Release Infrastructure |
|
|
| * remove flaky assertion in test_integ_history_server |
| * adjust assertion of TensorFlow MNIST test |
| |
| ## v2.17.0 (2020-12-02) |
| |
| ### Features |
| |
| * bump minor version for re:Invent 2020 features |
| |
| ## v2.16.4 (2020-12-01) |
| |
| ### Features |
| |
| * Add re:Invent 2020 features |
| |
| ### Bug Fixes and Other Changes |
| |
| * use eia python version fixture in integration tests |
| * bump version to 2.17.0 for re:Invent-2020 |
| |
| ### Documentation Changes |
| |
| * add feature store documentation |
| |
| ## v2.16.3.post0 (2020-11-17) |
| |
| ### Testing and Release Infrastructure |
| |
| * use ECR-hosted image for ubuntu:16.04 |
| |
| ## v2.16.3 (2020-11-11) |
| |
| ### Bug Fixes and Other Changes |
| |
| * fix failures for multiple spark run() invocations |
| |
| ## v2.16.2 (2020-11-09) |
| |
| ### Bug Fixes and Other Changes |
| |
| * create default bucket only if needed |
| |
| ## v2.16.1 (2020-10-28) |
| |
| ### Bug Fixes and Other Changes |
| |
| * ensure 1p algos are compatible with forward-port |
| |
| ## v2.16.0.post0 (2020-10-28) |
| |
| ### Documentation Changes |
| |
| * clarify non-breaking changes after v1 forward port |
| |
| ## v2.16.0 (2020-10-27) |
| |
| ### Features |
| |
| * update image uri for neo tensorflow |
| |
| ## v2.15.4 (2020-10-26) |
| |
| ### Bug Fixes and Other Changes |
| |
| * add kms_key optional arg to Pipeline.deploy() |
|
|
| ### Documentation Changes |
|
|
| * Debugger API - improve docstrings and add examples |
|
|
| ## v2.15.3 (2020-10-20) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * refactor _create_model_request |
| |
| ## v2.15.2 (2020-10-19) |
| |
| ### Bug Fixes and Other Changes |
| |
| * preserve model_dir bool value |
| * refactor out batch transform job input generation |
|
|
| ## v2.15.1 (2020-10-15) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * include more notebook tests, logger to warn |
| * include managed spot training notebook test |
| * add missing account IDs for af-south-1 and eu-south-1 |
|
|
| ## v2.15.0 (2020-10-07) |
|
|
| ### Features |
|
|
| * add network isolation support for PipelineModel |
| * forward-port v1 names as deprecated aliases |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * include additional docstyle improvements |
| * check optional keyword before accessing |
| * use local updated args; use train_max_wait |
| * cross-platform file URI for Processing |
| * update kwargs target attribute |
|
|
| ### Documentation Changes |
|
|
| * fix Spark class links |
| * kwargs descriptions include clickable links |
| * fix broken link to moved notebook |
|
|
| ## v2.14.0 (2020-10-05) |
|
|
| ### Features |
|
|
| * upgrade Neo MxNet to 1.7 |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * add a condition to retrieve correct image URI for xgboost |
|
|
| ## v2.13.0 (2020-09-30) |
|
|
| ### Features |
|
|
| * add xgboost framework version 1.2-1 |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * revert "feature: upgrade Neo MxNet to 1.7 (#1928)" |
|
|
| ## v2.12.0 (2020-09-29) |
|
|
| ### Features |
|
|
| * upgrade Neo MxNet to 1.7 |
|
|
| ## v2.11.0 (2020-09-28) |
|
|
| ### Features |
|
|
| * Add SDK support for SparkML Serving Container version 2.4 |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * pin pytest version <6.1.0 to avoid pytest-rerunfailures breaking changes |
| * temporarily skip the MxNet Neo test until we fix them |
|
|
| ### Documentation Changes |
|
|
| * fix conda setup for docs |
|
|
| ## v2.10.0 (2020-09-23) |
|
|
| ### Features |
|
|
| * add inferentia pytorch inference container config |
|
|
| ## v2.9.2 (2020-09-21) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * allow kms encryption upload for processing |
|
|
| ## v2.9.1 (2020-09-17) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * update spark image_uri config with eu-north-1 account |
| |
| ## v2.9.0 (2020-09-17) |
| |
| ### Features |
| |
| * add MXNet 1.7.0 images |
| |
| ### Documentation Changes |
| |
| * removed Kubernetes workflow content |
| |
| ## v2.8.0 (2020-09-16) |
| |
| ### Features |
| |
| * add spark processing support to processing jobs |
| |
| ### Bug Fixes and Other Changes |
| |
| * remove DataFrame assert from unrelated test |
| |
| ## v2.7.0 (2020-09-15) |
| |
| ### Features |
| |
| * reshape Parents into experiment analytics dataframe |
| |
| ## v2.6.0 (2020-09-14) |
| |
| ### Features |
| |
| * add model monitor image accounts for af-south-1 and eu-south-1 |
| |
| ### Bug Fixes and Other Changes |
| |
| * enforce some docstyle conventions |
| |
| ### Documentation Changes |
| |
| * fix CSVSerializer typo in v2.rst |
| |
| ## v2.5.5 (2020-09-10) |
| |
| ### Bug Fixes and Other Changes |
| |
| * update PyTorch 1.6.0 inference image uri config |
| * set use_spot_instances and max_wait as init params from job description |
| * run integ tests when image_uri_config jsons are changed |
| * Revert "fix: update pytorch inference 1.6 image uri config (#1873)" |
| * update pytorch inference 1.6 image uri config |
|
|
| ### Documentation Changes |
|
|
| * fix typo in v2.rst |
|
|
| ### Testing and Release Infrastructure |
|
|
| * fix PyTorch inference packed model integ test |
|
|
| ## v2.5.4 (2020-09-08) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * update max_run_wait to max_wait in v2.rst for estimator parameters |
| * Updating regional account ids for af-south-1 and eu-south-1 |
| * add account ids for af-south-1 and eu-south-1 for debugger rules |
| |
| ## v2.5.3 (2020-09-02) |
| |
| ### Bug Fixes and Other Changes |
| |
| * Revert "change: update image uri config for pytorch 1.6.0 inference (#1864)" |
| * update image uri config for pytorch 1.6.0 inference |
| * add missing framework version image uri config |
| |
| ## v2.5.2 (2020-08-31) |
| |
| ### Bug Fixes and Other Changes |
| |
| * refactor normalization of args for processing |
| * set TF 2.1.1 as highest py2 version for TF |
| * decrease integ test concurrency and increase delay between retries |
| |
| ## v2.5.1 (2020-08-27) |
| |
| ### Bug Fixes and Other Changes |
| |
| * formatting changes from updates to black |
| |
| ## v2.5.0 (2020-08-25) |
| |
| ### Features |
| |
| * add mypy tox target |
| |
| ### Bug Fixes and Other Changes |
| |
| * break out methods to get processing arguments |
| * break out methods to get train arguments |
| |
| ## v2.4.2 (2020-08-24) |
| |
| ### Bug Fixes and Other Changes |
| |
| * check ast node on later renamers for cli v2 updater |
| |
| ### Documentation Changes |
| |
| * Clarify removals in v2 |
| |
| ## v2.4.1 (2020-08-19) |
| |
| ### Bug Fixes and Other Changes |
| |
| * update rulesconfig to 0.1.5 |
| |
| ## v2.4.0 (2020-08-17) |
| |
| ### Features |
| |
| * Neo algorithm accounts for af-south-1 and eu-south-1 |
| |
| ### Bug Fixes and Other Changes |
| |
| * upgrade pytest and other deps, tox clean-up |
| * upgrade airflow to 1.10.11 |
| * update exception assertion with new api change |
| * docs: Add SerDe documentation |
| |
| ## v2.3.0 (2020-08-11) |
| |
| ### Features |
| |
| * support TF training 2.3 |
| |
| ### Documentation Changes |
| |
| * update 1p estimators class description |
| |
| ## v2.2.0 (2020-08-10) |
| |
| ### Features |
| |
| * new 1P algorithm accounts for af-south-1 and eu-south-1 |
| |
| ### Bug Fixes and Other Changes |
| |
| * update debugger us-east-1 account |
| * docs: Add information on Amazon SageMaker Operators usage in China |
| |
| ## v2.1.0 (2020-08-06) |
| |
| ### Features |
| |
| * add DLC account numbers for af-south-1 and eu-south-1 |
| |
| ## v2.0.1 (2020-08-05) |
| |
| ### Bug Fixes and Other Changes |
| |
| * use pathlib.PurePosixPath for S3 URLs and Unix paths |
| * fix regions for updated RL images |
| |
| ### Documentation Changes |
| |
| * update CHANGELOG to reflect v2.0.0 changes |
| |
| ### Testing and Release Infrastructure |
| |
| * remove v2-incompatible notebooks from notebook build |
| |
| ## v2.0.0 (2020-08-04) |
| |
| ### Breaking Changes |
| |
| * rename s3_input to TrainingInput |
| * Move _NumpyDeserializer to sagemaker.deserializers.NumpyDeserializer |
| * rename numpy_to_record_serializer to RecordSerializer |
| * Move _CsvDeserializer to sagemaker.deserializers and rename to CSVDeserializer |
| * Move _JsonSerializer to sagemaker.serializers.JSONSerializer |
| * Move _NPYSerializer to sagemaker.serializers and rename to NumpySerializer |
| * Move _JsonDeserializer to sagemaker.deserializers.JSONDeserializer |
| * Move _CsvSerializer to sagemaker.serializers.CSVSerializer |
| * preserve script path when S3 source_dir is provided |
| * use image_uris.retrieve() for XGBoost URIs |
| * deprecate sagemaker.amazon.amazon_estimator.get_image_uri() |
| * deprecate fw_registry module and use image_uris.retrieve() for SparkML |
| * deprecate Python SDK CLI |
| * Remove the content_types module |
| * deprecate unused parameters |
| * deprecate fw_utils.create_image_uri() |
| * use images_uris.retrieve() for Debugger |
| * deprecate fw_utils.parse_s3_url in favor of s3.parse_s3_url |
| * deprecate unused functions from utils and fw_utils |
| * Remove content_type and accept parameters from Predictor |
| * Add parameters to deploy and remove parameters from create_model |
| * Add LibSVM serializer for XGBoost predictor |
| * move ShuffleConfig from sagemaker.session to sagemaker.inputs |
| * deprecate get_ecr_image_uri_prefix |
| * rename estimator.train_image() to estimator.training_image_uri() |
| * deprecate is_version_equal_or_higher and is_version_equal_or_lower |
| * default wait=True for HyperparameterTuner.fit() and Transformer.transform() |
| * remove unused bin/sagemaker-submit file |
|
|
| ### Features |
|
|
| * start new module for retrieving prebuilt SageMaker image URIs |
| * handle separate training/inference images and EI in image_uris.retrieve |
| * add support for Amazon algorithms in image_uris.retrieve() |
| * Add pandas deserializer |
| * Remove LegacySerializer and LegacyDeserializer |
| * Add sparse matrix serializer |
| * Add v2 SerDe compatability |
| * Add JSON Lines serializer |
| * add framework upgrade tool |
| * add 1p algorithm image_uris migration tool |
| * Update migration tool to support breaking changes to create_model |
| * support PyTorch 1.6 training |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * handle named variables in v2 migration tool |
| * add modifier for s3_input class |
| * add XGBoost support to image_uris.retrieve() |
| * add MXNet configuration to image_uris.retrieve() |
| * add remaining Amazon algorithms for image_uris.retrieve() |
| * add PyTorch configuration for image_uris.retrieve() |
| * make image_scope optional for some images in image_uris.retrieve() |
| * separate logs() from attach() |
| * use image_uris.retrieve instead of fw_utils.create_image_uri for DLC frameworks |
| * use images_uris.retrieve() for scikit-learn classes |
| * use image_uris.retrieve() for RL images |
| * Rename BaseDeserializer.deserialize data parameter |
| * Add allow_pickle parameter to NumpyDeserializer |
| * Fix scipy.sparse imports |
| * Improve code style of SerDe compatibility |
| * use image_uris.retrieve for Neo and Inferentia images |
| * use generated RL version fixtures and update Ray version |
| * use image_uris.retrieve() for ModelMonitor default image |
| * use _framework_name for 'protected' attribute |
| * Fix JSONLinesDeserializer |
| * upgrade TFS version and fix py_versions KeyError |
| * Fix PandasDeserializer tests to more accurately mock response |
| * don't require instance_type for image_uris.retrieve() if only one option |
| * ignore code cells with shell commands in v2 migration tool |
| * Support multiple Accept types |
| |
| ### Documentation Changes |
| |
| * fix pip install command |
| * document name changes for TFS classes |
| * document v2.0.0 changes |
| * update KFP full pipeline |
| |
| ### Testing and Release Infrastructure |
| |
| * generate Chainer latest version fixtures from config |
| * use generated TensorFlow version fixtures |
| * use generated MXNet version fixtures |
| |
| ## v1.72.0 (2020-07-29) |
| |
| ### Features |
| |
| * Neo: Add Granular Target Description support for compilation |
| |
| ### Documentation Changes |
| |
| * Add xgboost doc on bring your own model |
| * fix typos on processing docs |
| |
| ## v1.71.1 (2020-07-27) |
| |
| ### Bug Fixes and Other Changes |
| |
| * remove redundant information from the user_agent string. |
|
|
| ### Testing and Release Infrastructure |
|
|
| * use unique model name in TFS integ tests |
| * use pytest-cov instead of coverage |
|
|
| ## v1.71.0 (2020-07-23) |
|
|
| ### Features |
|
|
| * Add mpi support for mxnet estimator api |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * use 'sagemaker' logger instead of root logger |
| * account for "py36" and "py37" in image tag parsing |
|
|
| ## v1.70.2 (2020-07-22) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * convert network_config in processing_config to dict |
|
|
| ### Documentation Changes |
|
|
| * Add ECR URI Estimator example |
|
|
| ## v1.70.1 (2020-07-21) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * Nullable fields in processing_config |
| |
| ## v1.70.0 (2020-07-20) |
| |
| ### Features |
| |
| * Add model monitor support for us-gov-west-1 |
| * support TFS 2.2 |
| |
| ### Bug Fixes and Other Changes |
| |
| * reshape Artifacts into data frame in ExperimentsAnalytics |
| |
| ### Documentation Changes |
| |
| * fix MXNet version info for requirements.txt support |
| |
| ## v1.69.0 (2020-07-09) |
| |
| ### Features |
| |
| * Add ModelClientConfig Fields for Batch Transform |
| |
| ### Documentation Changes |
| |
| * add KFP Processing component |
| |
| ## v2.0.0.rc1 (2020-07-08) |
| |
| ### Breaking Changes |
| |
| * Move StreamDeserializer to sagemaker.deserializers |
| * Move StringDeserializer to sagemaker.deserializers |
| * rename record_deserializer to RecordDeserializer |
| * remove "train_" where redundant in parameter/variable names |
| * Add BytesDeserializer |
| * rename image to image_uri |
| * rename image_name to image_uri |
| * create new inference resources during model.deploy() and model.transformer() |
| * rename session parameter to sagemaker_session in S3 utility classes |
| * rename distributions to distribution in TF/MXNet estimators |
| * deprecate update_endpoint arg in deploy() |
| * create new inference resources during estimator.deploy() or estimator.transformer() |
| * deprecate delete_endpoint() for estimators and HyperparameterTuner |
| * refactor Predictor attribute endpoint to endpoint_name |
| * make instance_type optional for Airflow model configs |
| * refactor name of RealTimePredictor to Predictor |
| * remove check for Python 2 string in sagemaker.predictor._is_sequence_like() |
| * deprecate sagemaker.utils.to_str() |
| * drop Python 2 support |
| |
| ### Features |
| |
| * add BaseSerializer and BaseDeserializer |
| * add Predictor.update_endpoint() |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * handle "train_*" renames in v2 migration tool |
| * handle image_uri rename for Session methods in v2 migration tool |
| * Update BytesDeserializer accept header |
| * handle image_uri rename for estimators and models in v2 migration tool |
| * handle image_uri rename in Airflow model config functions in v2 migration tool |
| * update migration tool for S3 utility functions |
| * set _current_job_name and base_tuning_job_name in HyperparameterTuner.attach() |
| * infer base name from job name in estimator.attach() |
| * ensure generated names are < 63 characters when deploying compiled models |
| * add TF migration documentation to error message |
|
|
| ### Documentation Changes |
|
|
| * update documentation with v2.0.0.rc1 changes |
| * remove 'train_*' prefix from estimator parameters |
| * update documentation for image_name/image --> image_uri |
| |
| ### Testing and Release Infrastructure |
| |
| * refactor matching logic in v2 migration tool |
| * add cli modifier for RealTimePredictor and derived classes |
| * change coverage settings to reduce intermittent errors |
| * clean up pickle.load logic in integ tests |
| * use fixture for Python version in framework integ tests |
| * remove assumption of Python 2 unit test runs |
| |
| ## v1.68.0 (2020-07-07) |
| |
| ### Features |
| |
| * add spot instance support for AlgorithmEstimator |
| |
| ### Documentation Changes |
| |
| * add xgboost documentation for inference |
| |
| ## v1.67.1.post0 (2020-07-01) |
| |
| ### Documentation Changes |
| |
| * add Step Functions SDK info |
| |
| ## v1.67.1 (2020-06-30) |
| |
| ### Bug Fixes and Other Changes |
| |
| * add deprecation warnings for estimator.delete_endpoint() and tuner.delete_endpoint() |
| |
| ## v1.67.0 (2020-06-29) |
| |
| ### Features |
| |
| * Apache Airflow integration for SageMaker Processing Jobs |
| |
| ### Bug Fixes and Other Changes |
| |
| * fix punctuation in warning message |
| |
| ### Testing and Release Infrastructure |
| |
| * address warnings about pytest custom marks, error message checking, and yaml loading |
| * mark long-running cron tests |
| * fix tox test dependencies and bump coverage threshold to 86% |
| |
| ## v1.66.0 (2020-06-25) |
| |
| ### Features |
| |
| * add 3.8 as supported python version |
| |
| ### Testing and Release Infrastructure |
| |
| * upgrade airflow to latest stable version |
| * update feature request issue template |
| |
| ## v1.65.1.post1 (2020-06-24) |
| |
| ### Testing and Release Infrastructure |
| |
| * add py38 to buildspecs |
| |
| ## v1.65.1.post0 (2020-06-22) |
| |
| ### Documentation Changes |
| |
| * document that Local Mode + local code doesn't support dependencies arg |
| |
| ### Testing and Release Infrastructure |
| |
| * upgrade Sphinx to 3.1.1 |
| |
| ## v1.65.1 (2020-06-18) |
| |
| ### Bug Fixes and Other Changes |
| |
| * remove include_package_data=True from setup.py |
| |
| ### Documentation Changes |
| |
| * add some clarification to Processing docs |
| |
| ### Testing and Release Infrastructure |
| |
| * specify what kinds of clients in PR template |
| |
| ## v1.65.0 (2020-06-17) |
| |
| ### Features |
| |
| * support for describing hyperparameter tuning job |
| |
| ### Bug Fixes and Other Changes |
| |
| * update distributed GPU utilization warning message |
| * set logs to False if wait is False in AutoML |
| * workflow passing spot training param to training job |
| |
| ## v2.0.0.rc0 (2020-06-17) |
| |
| ### Breaking Changes |
| |
| * remove estimator parameters for TF legacy mode |
| * remove legacy `TensorFlowModel` and `TensorFlowPredictor` classes |
| * force image URI to be passed for legacy TF images |
| * rename `sagemaker.tensorflow.serving` to `sagemaker.tensorflow.model` |
| * require `framework_version` and `py_version` for framework estimator and model classes |
| * change `Model` parameter order to make `model_data` optional |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * add v2 migration tool |
|
|
| ### Documentation Changes |
|
|
| * update TF documentation to reflect breaking changes and how to upgrade |
| * start v2 usage and migration documentation |
|
|
| ### Testing and Release Infrastructure |
|
|
| * remove scipy from dependencies |
| * remove TF from optional dependencies |
|
|
| ## v1.64.1 (2020-06-16) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * include py38 tox env and some dependency upgrades |
|
|
| ## v1.64.0 (2020-06-15) |
|
|
| ### Features |
|
|
| * add support for SKLearn 0.23 |
|
|
| ## v1.63.0 (2020-06-12) |
|
|
| ### Features |
|
|
| * Allow selecting inference response content for automl generated models |
| * Support for multi variant endpoint invocation with target variant param |
|
|
| ### Documentation Changes |
|
|
| * improve docstring and remove unavailable links |
|
|
| ## v1.62.0 (2020-06-11) |
|
|
| ### Features |
|
|
| * Support for multi variant endpoint invocation with target variant param |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * Revert "feature: Support for multi variant endpoint invocation with target variant param (#1571)" |
| * make instance_type optional for prepare_container_def |
| * docs: workflows navigation |
| |
| ### Documentation Changes |
| |
| * fix typo in MXNet documentation |
| |
| ## v1.61.0 (2020-06-09) |
| |
| ### Features |
| |
| * Use boto3 DEFAULT_SESSION when no boto3 session specified. |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * remove v2 Session warnings |
| * upgrade smdebug-rulesconfig to 0.1.4 |
| * explicitly handle arguments in create_model for sklearn and xgboost |
| |
| ## v1.60.2 (2020-05-29) |
| |
| ### Bug Fixes and Other Changes |
| |
| * [doc] Added Amazon Components for Kubeflow Pipelines |
| |
| ## v1.60.1.post0 (2020-05-28) |
| |
| ### Documentation Changes |
| |
| * clarify that entry_point must be in the root of source_dir (if applicable) |
| |
| ## v1.60.1 (2020-05-27) |
| |
| ### Bug Fixes and Other Changes |
| |
| * refactor the navigation |
| |
| ### Documentation Changes |
| |
| * fix undoc directive; removes extra tabs |
| |
| ## v1.60.0.post0 (2020-05-26) |
| |
| ### Documentation Changes |
| |
| * remove some duplicated documentation from main README |
| * fix TF requirements.txt documentation |
| |
| ## v1.60.0 (2020-05-25) |
| |
| ### Features |
| |
| * support TensorFlow training 2.2 |
| |
| ### Bug Fixes and Other Changes |
| |
| * blacklist unknown xgboost image versions |
| * use format strings instead of os.path.join for S3 URI in S3Downloader |
| |
| ### Documentation Changes |
| |
| * consolidate framework version and image information |
| |
| ## v1.59.0 (2020-05-21) |
| |
| ### Features |
| |
| * MXNet elastic inference support |
| |
| ### Bug Fixes and Other Changes |
| |
| * add Batch Transform data processing options to Airflow config |
| * add v2 warning messages |
| * don't try to use local output path for KMS key in Local Mode |
| |
| ### Documentation Changes |
| |
| * add instructions for how to enable 'local code' for Local Mode |
| |
| ## v1.58.4 (2020-05-20) |
| |
| ### Bug Fixes and Other Changes |
| |
| * update AutoML default max_candidate value to use the service default |
| * add describe_transform_job in session class |
|
|
| ### Documentation Changes |
|
|
| * clarify support for requirements.txt in Tensorflow docs |
|
|
| ### Testing and Release Infrastructure |
|
|
| * wait for DisassociateTrialComponent to take effect in experiment integ test cleanup |
|
|
| ## v1.58.3 (2020-05-19) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * update DatasetFormat key name for sagemakerCaptureJson |
|
|
| ### Documentation Changes |
|
|
| * update Processing job max_runtime_in_seconds docstring |
| |
| ## v1.58.2.post0 (2020-05-18) |
| |
| ### Documentation Changes |
| |
| * specify S3 source_dir needs to point to a tar file |
| * update PyTorch BYOM topic |
|
|
| ## v1.58.2 (2020-05-13) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * address flake8 error |
|
|
| ## v1.58.1 (2020-05-11) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * upgrade boto3 to 1.13.6 |
|
|
| ## v1.58.0 (2020-05-08) |
|
|
| ### Features |
|
|
| * support inter container traffic encryption for processing jobs |
|
|
| ### Documentation Changes |
|
|
| * add note that v2.0.0 plans have been posted |
|
|
| ## v1.57.0 (2020-05-07) |
|
|
| ### Features |
|
|
| * add tensorflow training 1.15.2 py37 support |
| * PyTorch 1.5.0 support |
|
|
| ## v1.56.3 (2020-05-06) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * update xgboost latest image version |
|
|
| ## v1.56.2 (2020-05-05) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * training_config returns MetricDefinitions |
| * preserve inference script in model repack. |
| |
| ### Testing and Release Infrastructure |
| |
| * support Python 3.7 |
| |
| ## v1.56.1.post1 (2020-04-29) |
| |
| ### Documentation Changes |
| |
| * document model.tar.gz structure for MXNet and PyTorch |
| * add documentation for EstimatorBase parameters missing from docstring |
| |
| ## v1.56.1.post0 (2020-04-28) |
| |
| ### Testing and Release Infrastructure |
| |
| * add doc8 check for documentation files |
| |
| ## v1.56.1 (2020-04-27) |
| |
| ### Bug Fixes and Other Changes |
| |
| * add super() call in Local Mode DataSource subclasses |
| * fix xgboost image incorrect latest version warning |
| * allow output_path without trailing slash in Local Mode training jobs |
| * allow S3 folder input to contain a trailing slash in Local Mode |
|
|
| ### Documentation Changes |
|
|
| * Add namespace-based setup for SageMaker Operators for Kubernetes |
| * Add note about file URLs for Estimator methods in Local Mode |
|
|
| ## v1.56.0 (2020-04-24) |
|
|
| ### Features |
|
|
| * add EIA support for TFS 1.15.0 and 2.0.0 |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * use format strings intead of os.path.join for Unix paths for Processing Jobs |
|
|
| ## v1.55.4 (2020-04-17) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * use valid encryption key arg for S3 downloads |
| * update sagemaker pytorch containers to external link |
| * allow specifying model name when creating a Transformer from an Estimator |
| * allow specifying model name in create_model() for TensorFlow, SKLearn, and XGBoost |
| * allow specifying model name in create_model() for Chainer, MXNet, PyTorch, and RL |
|
|
| ### Documentation Changes |
|
|
| * fix wget endpoints |
| * add Adobe Analytics; upgrade Sphinx and docs environment |
| * Explain why default model_fn loads PyTorch-EI models to CPU by default |
| * Set theme in conf.py |
| * correct transform()'s wait default value to "False" |
| |
| ### Testing and Release Infrastructure |
| |
| * move unit tests for updating an endpoint to test_deploy.py |
| * move Neo unit tests to a new file and directly use the Model class |
| * move Model.deploy unit tests to separate file |
| * add Model unit tests for delete_model and enable_network_isolation |
| * skip integ tests in PR build if only unit tests are modified |
| * add Model unit tests for prepare_container_def and _create_sagemaker_model |
| * use Model class for model deployment unit tests |
| * split model unit tests by Model, FrameworkModel, and ModelPackage |
| * add Model unit tests for all transformer() params |
| * add TF batch transform integ test with KMS and network isolation |
| * use pytest fixtures in batch transform integ tests to train and upload to S3 only once |
| * improve unit tests for creating Transformers and transform jobs |
| * add PyTorch + custom model bucket batch transform integ test |
|
|
| ## v1.55.3 (2020-04-08) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * remove .strip() from batch transform |
| * allow model with network isolation when creating a Transformer from an Estimator |
| * add enable_network_isolation to EstimatorBase |
|
|
| ## v1.55.2 (2020-04-07) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * use .format instead of os.path.join for Processing S3 paths. |
|
|
| ### Testing and Release Infrastructure |
|
|
| * use m5.xlarge instances for "ap-northeast-1" region integ tests. |
|
|
| ## v1.55.1 (2020-04-06) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * correct local mode behavior for CN regions |
|
|
| ## v1.55.0.post0 (2020-04-06) |
|
|
| ### Documentation Changes |
|
|
| * fix documentation to provide working example. |
| * add documentation for XGBoost |
| * Correct comment in SKLearn Estimator about default Python version |
| * document inferentia supported version |
| * Merge Amazon Sagemaker Operators for Kubernetes and Kubernetes Jobs pages |
|
|
| ### Testing and Release Infrastructure |
|
|
| * turn on warnings as errors for docs builds |
|
|
| ## v1.55.0 (2020-03-31) |
|
|
| ### Features |
|
|
| * support cn-north-1 and cn-northwest-1 |
|
|
| ## v1.54.0 (2020-03-31) |
|
|
| ### Features |
|
|
| * inferentia support |
|
|
| ## v1.53.0 (2020-03-30) |
|
|
| ### Features |
|
|
| * Allow setting S3 endpoint URL for Local Session |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * Pass kwargs from create_model to Model constructors |
| * Warn if parameter server is used with multi-GPU instance |
| |
| ## v1.52.1 (2020-03-26) |
| |
| ### Bug Fixes and Other Changes |
| |
| * Fix local _SageMakerContainer detached mode (aws#1374) |
|
|
| ## v1.52.0.post0 (2020-03-25) |
|
|
| ### Documentation Changes |
|
|
| * Add docs for debugger job support in operator |
|
|
| ## v1.52.0 (2020-03-24) |
|
|
| ### Features |
|
|
| * add us-gov-west-1 to neo supported regions |
|
|
| ## v1.51.4 (2020-03-23) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * Check that session is a LocalSession when using local mode |
| * add tflite to Neo-supported frameworks |
| * ignore tags with 'aws:' prefix when creating an EndpointConfig based on an existing one |
| * allow custom image when calling deploy or create_model with various frameworks |
| |
| ### Documentation Changes |
| |
| * fix description of default model_dir for TF |
| * add more details about PyTorch eia |
|
|
| ## v1.51.3 (2020-03-12) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * make repack_model only removes py file when new entry_point provided |
|
|
| ## v1.51.2 (2020-03-11) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * handle empty inputs/outputs in ProcessingJob.from_processing_name() |
| * use DLC images for GovCloud |
|
|
| ### Testing and Release Infrastructure |
|
|
| * generate test job name at test start instead of module start |
|
|
| ## v1.51.1 (2020-03-10) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * skip pytorch ei test in unsupported regions |
|
|
| ### Documentation Changes |
|
|
| * correct MultiString/MULTI_STRING docstring |
| |
| ## v1.51.0 (2020-03-09) |
| |
| ### Features |
| |
| * pytorch 1.3.1 eia support |
| |
| ### Documentation Changes |
| |
| * Update Kubernetes Operator default tag |
| * improve docstring for tuner.best_estimator() |
|
|
| ## v1.50.18.post0 (2020-03-05) |
|
|
| ### Documentation Changes |
|
|
| * correct Estimator code_location default S3 path |
| |
| ## v1.50.18 (2020-03-04) |
| |
| ### Bug Fixes and Other Changes |
| |
| * change default compile model max run to 15 mins |
| |
| ## v1.50.17.post0 (2020-03-03) |
| |
| ### Testing and Release Infrastructure |
| |
| * fix PR builds to run on changes to their own buildspecs |
| * programmatically determine partition based on region |
| |
| ## v1.50.17 (2020-02-27) |
| |
| ### Bug Fixes and Other Changes |
| |
| * upgrade framework versions |
| |
| ## v1.50.16 (2020-02-26) |
| |
| ### Bug Fixes and Other Changes |
| |
| * use sagemaker_session when initializing Constraints and Statistics |
| * add sagemaker_session parameter to DataCaptureConfig |
| * make AutoML.deploy use self.sagemaker_session by default |
|
|
| ### Testing and Release Infrastructure |
|
|
| * unset region during integ tests |
| * use sagemaker_session fixture in all Airflow tests |
| * remove remaining TF legacy mode integ tests |
| |
| ## v1.50.15 (2020-02-25) |
| |
| ### Bug Fixes and Other Changes |
| |
| * enable Neo integ tests |
| |
| ## v1.50.14.post0 (2020-02-24) |
| |
| ### Testing and Release Infrastructure |
| |
| * remove TF framework mode notebooks from PR build |
| * don't create docker network for all integ tests |
| |
| ## v1.50.14 (2020-02-20) |
| |
| ### Bug Fixes and Other Changes |
| |
| * don't use os.path.join for S3 path when repacking TFS model |
| * dynamically determine AWS domain based on region |
| |
| ## v1.50.13 (2020-02-19) |
| |
| ### Bug Fixes and Other Changes |
| |
| * allow download_folder to download file even if bucket is more restricted |
|
|
| ### Testing and Release Infrastructure |
|
|
| * configure pylint to recognize boto3 and botocore as third-party imports |
| * add multiple notebooks to notebook PR build |
|
|
| ## v1.50.12 (2020-02-17) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * enable network isolation for amazon estimators |
|
|
| ### Documentation Changes |
|
|
| * clarify channel environment variables in PyTorch documentation |
|
|
| ## v1.50.11 (2020-02-13) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * fix HyperparameterTuner.attach for Marketplace algorithms |
| * move requests library from required packages to test dependencies |
| * create Session or LocalSession if not specified in Model |
|
|
| ### Documentation Changes |
|
|
| * remove hardcoded list of target devices in compile() |
| * Fix typo with SM_MODEL_DIR, missing quotes |
|
|
| ## v1.50.10.post0 (2020-02-12) |
|
|
| ### Documentation Changes |
|
|
| * add documentation guidelines to CONTRIBUTING.md |
| * Removed section numbering |
|
|
| ## v1.50.10 (2020-02-11) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * remove NEO_ALLOWED_TARGET_INSTANCE_FAMILY |
|
|
| ## v1.50.9.post0 (2020-02-06) |
|
|
| ### Documentation Changes |
|
|
| * remove labels from issue templates |
|
|
| ## v1.50.9 (2020-02-04) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * account for EI and version-based ECR repo naming in serving_image_uri() |
|
|
| ### Documentation Changes |
|
|
| * correct broken AutoML API documentation link |
| * fix MXNet version lists |
|
|
| ## v1.50.8 (2020-01-30) |
|
|
| ### Bug Fixes and Other Changes |
|
|
| * disable Debugger defaults in unsupported regions |
| * modify session and kms_utils to check for S3 bucket before creation |
| * update docker-compose and PyYAML dependencies |
| * enable smdebug for Horovod (MPI) training setup |
| * create lib dir for dependencies safely (only if it doesn't exist yet). |
| * create the correct session for MultiDataModel |
| |
| ### Documentation Changes |
| |
| * update links to the local mode notebooks examples. |
| * Remove outdated badges from README |
| * update links to TF notebook examples to link to script mode examples. |
| * clean up headings, verb tenses, names, etc. in MXNet overview |
| * Update SageMaker operator Helm chart installation guide |
| |
| ### Testing and Release Infrastructure |
| |
| * choose faster notebook for notebook PR build |
| * properly fail PR build if has-matching-changes fails |
| * properly fail PR build if has-matching-changes fails |
| |
| ## v1.50.7 (2020-01-20) |
| |
| ### Bug fixes and other changes |
| |
| * do not use script for TFS when entry_point is not provided |
| * remove usage of pkg_resources |
| * update py2 warning message since python 2 is deprecated |
| * cleanup experiments, trials, and trial components in integ tests |
| |
| ## v1.50.6.post0 (2020-01-20) |
| |
| ### Documentation changes |
| |
| * add additional information to Transformer class transform function doc string |
| |
| ## v1.50.6 (2020-01-18) |
| |
| ### Bug fixes and other changes |
| |
| * Append serving to model framework name for PyTorch, MXNet, and TensorFlow |
| |
| ## v1.50.5 (2020-01-17) |
| |
| ### Bug fixes and other changes |
| |
| * Use serving_image_uri for Airflow |
| |
| ### Documentation changes |
| |
| * revise Processing docstrings for formatting and class links |
| * Add processing readthedocs |
| |
| ## v1.50.4 (2020-01-16) |
| |
| ### Bug fixes and other changes |
| |
| * Remove version number from default version comment |
| * remove remaining instances of python-dateutil pin |
| * upgrade boto3 and remove python-dateutil pin |
| |
| ### Documentation changes |
| |
| * Add issue templates and configure issue template chooser |
| * Update error type in delete_endpoint docstring |
| * add version requirement for using "requirements.txt" when serving an MXNet model |
| * update container dependency versions for MXNet and PyTorch |
| * Update supported versions of PyTorch |
|
|
| ## v1.50.3 (2020-01-15) |
|
|
| ### Bug fixes and other changes |
|
|
| * ignore private Automatic Model Tuning hyperparameter when attaching AlgorithmEstimator |
|
|
| ### Documentation changes |
|
|
| * add Debugger API docs |
|
|
| ## v1.50.2 (2020-01-14) |
|
|
| ### Bug fixes and other changes |
|
|
| * add tests to quick canary |
| * honor 'wait' flag when updating endpoint |
| * add default framework version warning message in Model classes |
| * Adding role arn explanation for sagemaker role |
| * allow predictor to be returned from AutoML.deploy() |
| * add PR checklist item about unique_name_from_base() |
| * use unique_name_from_base for multi-algo tuning test |
| * update copyright year in license header |
|
|
| ### Documentation changes |
|
|
| * add version requirement for using "requirement.txt" when serving a PyTorch model |
| * add SageMaker Debugger overview |
| * clarify requirements.txt usage for Chainer, MXNet, and Scikit-learn |
| * change "associate" to "create" for OpenID connector |
| * fix typo and improve clarity on installing packages via "requirements.txt" |
|
|
| ## v1.50.1 (2020-01-07) |
|
|
| ### Bug fixes and other changes |
|
|
| * fix PyTorchModel deployment crash on Windows |
| * make PyTorch empty framework_version warning include the latest PyTorch version |
| |
| ## v1.50.0 (2020-01-06) |
| |
| ### Features |
| |
| * allow disabling debugger_hook_config |
| |
| ### Bug fixes and other changes |
| |
| * relax urllib3 and requests restrictions. |
| * Add uri as return statement for upload_string_as_file_body |
| * refactor logic in fw_utils and fill in docstrings |
| * increase poll from 5 to 30 for DescribeEndpoint lambda. |
| * fix test_auto_ml tests for regions without ml.c4.xlarge hosts. |
| * fix test_processing for regions without m4.xlarge instances. |
| * reduce test's describe frequency to eliminate throttling error. |
| * Increase number of retries when describing an endpoint since tf-2.0 has larger images and takes longer to start. |
| |
| ### Documentation changes |
| |
| * generalize Model Monitor documentation from SageMaker Studio tutorial |
| |
| ## v1.49.0 (2019-12-23) |
| |
| ### Features |
| |
| * Add support for TF-2.0.0. |
| * create ProcessingJob from ARN and from name |
| |
| ### Bug fixes and other changes |
| |
| * Make tf tests tf-1.15 and tf-2.0 compatible. |
| |
| ### Documentation changes |
| |
| * add Model Monitor documentation |
| * add link to Amazon algorithm estimator parent class to clarify **kwargs |
| |
| ## v1.48.1 (2019-12-18) |
| |
| ### Bug fixes and other changes |
| |
| * use name_from_base in auto_ml.py but unique_name_from_base in tests. |
| * make test's custom bucket include region and account name. |
| * add Keras to the list of Neo-supported frameworks |
| |
| ### Documentation changes |
| |
| * add link to parent classes to clarify **kwargs |
| * add link to framework-related parent classes to clarify **kwargs |
| |
| ## v1.48.0 (2019-12-17) |
| |
| ### Features |
| |
| * allow setting the default bucket in Session |
| |
| ### Bug fixes and other changes |
| |
| * set integration test parallelization to 512 |
| * shorten base job name to avoid collision |
| * multi model integration test to create ECR repo with unique names to allow independent parallel executions |
| |
| ## v1.47.1 (2019-12-16) |
| |
| ### Bug fixes and other changes |
| |
| * Revert "feature: allow setting the default bucket in Session (#1168)" |
| |
| ### Documentation changes |
| |
| * add AutoML README |
| * add missing classes to API docs |
| |
| ## v1.47.0 (2019-12-13) |
| |
| ### Features |
| |
| * allow setting the default bucket in Session |
| |
| ### Bug fixes and other changes |
| |
| * allow processing users to run code in s3 |
| |
| ## v1.46.0 (2019-12-12) |
| |
| ### Features |
| |
| * support Multi-Model endpoints |
| |
| ### Bug fixes and other changes |
| |
| * update PR template with items about tests, regional endpoints, and API docs |
| |
| ## v1.45.2 (2019-12-10) |
| |
| ### Bug fixes and other changes |
| |
| * modify schedule cleanup to abide by latest validations |
| * lower log level when getting execution role from a SageMaker Notebook |
| * Fix "ValueError: too many values to unpack (expected 2)" is occurred in windows local mode |
| * allow ModelMonitor and Processor to take IAM role names (in addition to ARNs) |
| |
| ### Documentation changes |
| |
| * mention that the entry_point needs to be named inference.py for tfs |
| |
| ## v1.45.1 (2019-12-06) |
| |
| ### Bug fixes and other changes |
| |
| * create auto ml job for tests that based on existing job |
| * fixing py2 support for latest TF version |
| * fix tags in deploy call for generic estimators |
| * make multi algo integration test assertion less specific |
| |
| ## v1.45.0 (2019-12-04) |
| |
| ### Features |
| |
| * add support for TF 1.15.0, PyTorch 1.3.1 and MXNet 1.6rc0. |
| * add S3Downloader.list(s3_uri) functionality |
| * introduce SageMaker AutoML |
| * wrap up Processing feature |
| * add a few minor features to Model Monitoring |
| * add enable_sagemaker_metrics flag |
| * Amazon SageMaker Model Monitoring |
| * add utils.generate_tensorboard_url function |
| * Add jobs list to Estimator |
| |
| ### Bug fixes and other changes |
| |
| * remove unnecessary boto model files |
| * update boto version to >=1.10.32 |
| * correct Debugger tests |
| * fix bug in monitor.attach() for empty network_config |
| * Import smdebug_rulesconfig from PyPI |
| * bump the version to 1.45.0 (publishes 1.46.0) for re:Invent-2019 |
| * correct AutoML imports and expose current_job_name |
| * correct Model Monitor eu-west-3 image name. |
| * use DLC prod images |
| * remove unused env variable for Model Monitoring |
| * aws model update |
| * rename get_debugger_artifacts to latest_job_debugger_artifacts |
| * remove retain flag from update_endpoint |
| * correct S3Downloader behavior |
| * consume smdebug_ruleconfig .whl for ITs |
| * disable DebuggerHook and Rules for TF distributions |
| * incorporate smdebug_ruleconfigs pkg until availability in PyPI |
| * remove pre/post scripts per latest validations |
| * update rules_config .whl |
| * remove py_version from SKLearnProcessor |
| * AutoML improvements |
| * stop overwriting custom rules volume and type |
| * fix tests due to latest server-side validations |
| * Minor processing changes |
| * minor processing changes (instance_count + docs) |
| * update api to latest |
| * Eureka master |
| * Add support for xgboost version 0.90-2 |
| * SageMaker Debugger revision |
| * Add support for SageMaker Debugger [WIP] |
| * Fix linear learner crash when num_class is string and predict type is `multiclass_classifier` |
| * Additional Processing Jobs integration tests |
| * Migrate to updated Processing Jobs API |
| * Processing Jobs revision round 2 |
| * Processing Jobs revision |
| * remove instance_pools parameter from tuner |
| * Multi-Algorithm Hyperparameter Tuning Support |
| * Import Processors in init files |
| * Remove SparkML Processors and corresponding unit tests |
| * Processing Jobs Python SDK support |
| |
| ## v1.44.4 (2019-12-02) |
| |
| ### Bug fixes and other changes |
| |
| * Documentation for Amazon Sagemaker Operators |
| |
| ## v1.44.3 (2019-11-26) |
| |
| ### Bug fixes and other changes |
| |
| * move sagemaker config loading to LocalSession since it is only used for local code support. |
| |
| ### Documentation changes |
| |
| * fix docstring wording. |
| |
| ## v1.44.2 (2019-11-25) |
| |
| ### Bug fixes and other changes |
| |
| * add pyyaml dependencies to the required list. |
| |
| ### Documentation changes |
| |
| * Correct info on code_location parameter |
| |
| ## v1.44.1 (2019-11-21) |
| |
| ### Bug fixes and other changes |
| |
| * Remove local mode dependencies from required. |
| |
| ## v1.44.0 (2019-11-21) |
| |
| ### Features |
| |
| * separating sagemaker dependencies into more use case specific installable components. |
| |
| ### Bug fixes and other changes |
| |
| * remove docker-compose as a required dependency. |
| |
| ## v1.43.5 (2019-11-18) |
| |
| ### Bug fixes and other changes |
| |
| * remove red from possible colors when streaming logs |
| |
| ## v1.43.4.post1 (2019-10-29) |
| |
| ### Documentation changes |
| |
| * clarify that source_dir can be an S3 URI |
| |
| ## v1.43.4.post0 (2019-10-28) |
| |
| ### Documentation changes |
| |
| * clarify how to use parameter servers with distributed MXNet training |
| |
| ## v1.43.4 (2019-10-24) |
| |
| ### Bug fixes and other changes |
| |
| * use regional endpoint for STS in builds and tests |
| |
| ### Documentation changes |
| |
| * update link to point to ReadTheDocs |
| |
| ## v1.43.3 (2019-10-23) |
| |
| ### Bug fixes and other changes |
| |
| * exclude regions for P2 tests |
| |
| ## v1.43.2 (2019-10-21) |
| |
| ### Bug fixes and other changes |
| |
| * add support for me-south-1 region |
| |
| ## v1.43.1 (2019-10-17) |
| |
| ### Bug fixes and other changes |
| |
| * validation args now use default framework_version for TensorFlow |
| |
| ## v1.43.0 (2019-10-16) |
| |
| ### Features |
| |
| * Add support for PyTorch 1.2.0 |
| |
| ## v1.42.9 (2019-10-14) |
| |
| ### Bug fixes and other changes |
| |
| * use default bucket for checkpoint_s3_uri integ test |
| * use sts regional endpoint when creating default bucket |
| * use us-west-2 endpoint for sts in buildspec |
| * take checkpoint_s3_uri and checkpoint_local_path in Framework class |
| |
| ## v1.42.8 (2019-10-10) |
| |
| ### Bug fixes and other changes |
| |
| * add kwargs to create_model for 1p to work with kms |
| |
| ## v1.42.7 (2019-10-09) |
| |
| ### Bug fixes and other changes |
| |
| * paginating describe log streams |
| |
| ## v1.42.6.post0 (2019-10-07) |
| |
| ### Documentation changes |
| |
| * model local mode |
| |
| ## v1.42.6 (2019-10-03) |
| |
| ### Bug fixes and other changes |
| |
| * update tfs documentation for requirements.txt |
| * support content_type in FileSystemInput |
| * allowing account overrides in special regions |
| |
| ## v1.42.5 (2019-10-02) |
| |
| ### Bug fixes and other changes |
| |
| * update using_mxnet.rst |
| |
| ## v1.42.4 (2019-10-01) |
| |
| ### Bug fixes and other changes |
| |
| * Revert "fix issue-987 error by adding instance_type in endpoint_name (#1058)" |
| * fix issue-987 error by adding instance_type in endpoint_name |
| |
| ## v1.42.3 (2019-09-26) |
| |
| ### Bug fixes and other changes |
| |
| * preserve EnableNetworkIsolation setting in attach |
| * enable kms support for repack_model |
| * support binary by NoneSplitter. |
| * stop CI unit test code checks from running in parallel |
| |
| ## v1.42.2 (2019-09-25) |
| |
| ### Bug fixes and other changes |
| |
| * re-enable airflow_config tests |
| |
| ## v1.42.1 (2019-09-24) |
| |
| ### Bug fixes and other changes |
| |
| * lazy import of tensorflow module |
| * skip airflow_config tests as they're blocking the release build |
| * skip lda tests in regions that does not support it. |
| * add airflow_config tests to canaries |
| * use correct STS endpoint for us-iso-east-1 |
| |
| ## v1.42.0 (2019-09-20) |
| |
| ### Features |
| |
| * add estimator preparation to airflow configuration |
| |
| ### Bug fixes and other changes |
| |
| * correct airflow workflow for BYO estimators. |
| |
| ## v1.41.0 (2019-09-20) |
| |
| ### Features |
| |
| * enable sklearn for network isolation mode |
| |
| ## v1.40.2 (2019-09-19) |
| |
| ### Bug fixes and other changes |
| |
| * use new ECR images in us-iso-east-1 for TF and MXNet |
| |
| ## v1.40.1 (2019-09-18) |
| |
| ### Bug fixes and other changes |
| |
| * expose kms_key parameter for deploying from training and hyperparameter tuning jobs |
| |
| ### Documentation changes |
| |
| * Update sklearn default predict_fn |
| |
| ## v1.40.0 (2019-09-17) |
| |
| ### Features |
| |
| * add support to TF 1.14 serving with elastic accelerator. |
| |
| ## v1.39.4 (2019-09-17) |
| |
| ### Bug fixes and other changes |
| |
| * pass enable_network_isolation when creating TF and SKLearn models |
| |
| ## v1.39.3 (2019-09-16) |
| |
| ### Bug fixes and other changes |
| |
| * expose vpc_config_override in transformer() methods |
| * use Estimator.create_model in Estimator.transformer |
| |
| ## v1.39.2 (2019-09-11) |
| |
| ### Bug fixes and other changes |
| |
| * pass enable_network_isolation in Estimator.create_model |
| * use p2 instead of p3 for the Horovod test |
| |
| ## v1.39.1 (2019-09-10) |
| |
| ### Bug fixes and other changes |
| |
| * copy dependencies into new folder when repacking model |
| * make get_caller_identity_arn get role from DescribeNotebookInstance |
| * add https to regional STS endpoint |
| * clean up git support integ tests |
| |
| ## v1.39.0 (2019-09-09) |
| |
| ### Features |
| |
| * Estimator.fit like logs for transformer |
| * handler for stopping transform job |
| |
| ### Bug fixes and other changes |
| |
| * remove hardcoded creds from integ test |
| * remove hardcoded creds from integ test |
| * Fix get_image_uri warning log for default xgboost version. |
| * add enable_network_isolation to generic Estimator class |
| * use regional endpoint when creating AWS STS client |
| * update Sagemaker Neo regions |
| * use cpu_instance_type fixture for stop_transform_job test |
| * hyperparameter tuning with spot instances and checkpoints |
| * skip efs and fsx integ tests in all regions |
| |
| ### Documentation changes |
| |
| * clarify some Local Mode limitations |
| |
| ## v1.38.6 (2019-09-04) |
| |
| ### Bug fixes and other changes |
| |
| * update: disable efs fsx integ tests in non-pdx regions |
| * fix canary test failure issues |
| * use us-east-1 for PR test runs |
| |
| ### Documentation changes |
| |
| * updated description for "accept" parameter in batch transform |
| |
| ## v1.38.5 (2019-09-02) |
| |
| ### Bug fixes and other changes |
| |
| * clean up resources created by file system set up when setup fails |
| |
| ## v1.38.4 (2019-08-29) |
| |
| ### Bug fixes and other changes |
| |
| * skip EFS tests until they are confirmed fixed. |
| |
| ### Documentation changes |
| |
| * add note to CONTRIBUTING to clarify automated formatting |
| * add checkpoint section to using_mxnet topic |
| |
| ## v1.38.3 (2019-08-28) |
| |
| ### Bug fixes and other changes |
| |
| * change AMI ids in tests to be dynamic based on regions |
| |
| ## v1.38.2 (2019-08-27) |
| |
| ### Bug fixes and other changes |
| |
| * skip efs tests in non us-west-2 regions |
| * refactor tests to use common retry method |
| |
| ## v1.38.1 (2019-08-26) |
| |
| ### Bug fixes and other changes |
| |
| * update py2 warning message |
| * add logic to use asimov image for TF 1.14 py2 |
| |
| ### Documentation changes |
| |
| * changed EFS directory path instructions in documentation and Docstrings |
| |
| ## v1.38.0 (2019-08-23) |
| |
| ### Features |
| |
| * support training inputs from EFS and FSx |
| |
| ## v1.37.2 (2019-08-20) |
| |
| ### Bug fixes and other changes |
| |
| * Add support for Managed Spot Training and Checkpoint support |
| * Integration Tests now dynamically checks AZs |
| |
| ## v1.37.1 (2019-08-19) |
| |
| ### Bug fixes and other changes |
| |
| * eliminate dependency on mnist dataset website |
| |
| ### Documentation changes |
| |
| * refactor using_sklearn and fix minor errors in using_pytorch and using_chainer |
| |
| ## v1.37.0 (2019-08-15) |
| |
| ### Features |
| |
| * add XGBoost Estimator as new framework |
| |
| ### Bug fixes and other changes |
| |
| * fix tests for new regions |
| * add update_endpoint for PipelineModel |
| |
| ### Documentation changes |
| |
| * refactor the using Chainer topic |
| |
| ## v1.36.4 (2019-08-13) |
| |
| ### Bug fixes and other changes |
| |
| * region build from staging pr |
| |
| ### Documentation changes |
| |
| * Refactor Using PyTorch topic for consistency |
| |
| ## v1.36.3 (2019-08-13) |
| |
| ### Bug fixes and other changes |
| |
| * fix integration test failures masked by timeout bug |
| * prevent multiple values error in sklearn.transformer() |
| * model.transformer() passes tags to create_model() |
| |
| ## v1.36.2 (2019-08-12) |
| |
| ### Bug fixes and other changes |
| |
| * rework CONTRIBUTING.md to include a development workflow |
| |
| ## v1.36.1 (2019-08-08) |
| |
| ### Bug fixes and other changes |
| |
| * prevent integration test's timeout functions from hiding failures |
| |
| ### Documentation changes |
| |
| * correct typo in using_sklearn.rst |
| |
| ## v1.36.0 (2019-08-07) |
| |
| ### Features |
| |
| * support for TensorFlow 1.14 |
| |
| ### Bug fixes and other changes |
| |
| * ignore FI18 flake8 rule |
| * allow Airflow enabled estimators to use absolute path entry_point |
| |
| ## v1.35.1 (2019-08-01) |
| |
| ### Bug fixes and other changes |
| |
| * update sklearn document to include 3p dependency installation |
| |
| ### Documentation changes |
| |
| * refactor and edit using_mxnet topic |
| |
| ## v1.35.0 (2019-07-31) |
| |
| ### Features |
| |
| * allow serving image to be specified when calling MXNet.deploy |
| |
| ## v1.34.3 (2019-07-30) |
| |
| ### Bug fixes and other changes |
| |
| * waiting for training tags to propagate in the test |
| |
| ## v1.34.2 (2019-07-29) |
| |
| ### Bug fixes and other changes |
| |
| * removing unnecessary tests cases |
| * Replaced generic ValueError with custom subclass when reporting unexpected resource status |
| |
| ### Documentation changes |
| |
| * correct wording for Cloud9 environment setup instructions |
| |
| ## v1.34.1 (2019-07-23) |
| |
| ### Bug fixes and other changes |
| |
| * enable line-too-long Pylint check |
| * improving Chainer integ tests |
| * update TensorFlow script mode dependency list |
| * improve documentation of some functions |
| * update PyTorch version |
| * allow serving script to be defined for deploy() and transformer() with frameworks |
| * format and add missing docstring placeholders |
| * add MXNet 1.4.1 support |
| |
| ### Documentation changes |
| |
| * add instructions for setting up Cloud9 environment. |
| * update using_tensorflow topic |
| |
| ## v1.34.0 (2019-07-18) |
| |
| ### Features |
| |
| * Git integration for CodeCommit |
| * deal with credentials for Git support for GitHub |
| |
| ### Bug fixes and other changes |
| |
| * modify TODO on disabled Pylint check |
| * enable consider-using-ternary Pylint check |
| * enable chained-comparison Pylint check |
| * enable too-many-public-methods Pylint check |
| * enable consider-using-in Pylint check |
| * set num_processes_per_host only if provided by user |
| * fix attach for 1P algorithm estimators |
| * enable ungrouped-imports Pylint check |
| * enable wrong-import-order Pylint check |
| * enable attribute-defined-outside-init Pylint check |
| * enable consider-merging-isinstance Pylint check |
| * enable inconsistent-return-statements Pylint check |
| * enable simplifiable-if-expression pylint checks |
| * fix list serialization for 1P algos |
| * enable no-else-return and no-else-raise pylint checks |
| * enable unidiomatic-typecheck pylint check |
| |
| ## v1.33.0 (2019-07-10) |
| |
| ### Features |
| |
| * git support for hosting models |
| * allow custom model name during deploy |
| |
| ### Bug fixes and other changes |
| |
| * remove TODO comment on import-error Pylint check |
| * enable wrong-import-position pylint check |
| * Revert "change: enable wrong-import-position pylint check (#907)" |
| * enable signature-differs pylint check |
| * enable wrong-import-position pylint check |
| * enable logging-not-lazy pylint check |
| * reset default output path in Transformer.transform |
| * Add ap-northeast-1 to Neo algorithms region map |
| |
| ## v1.32.2 (2019-07-08) |
| |
| ### Bug fixes and other changes |
| |
| * enable logging-format-interpolation pylint check |
| * remove superfluous parens per Pylint rule |
| |
| ### Documentation changes |
| |
| * add pypi, rtd, black badges to readme |
| |
| ## v1.32.1 (2019-07-04) |
| |
| ### Bug fixes and other changes |
| |
| * correct code per len-as-condition Pylint check |
| * tighten pylint config and expand C and R exceptions |
| * Update displaytime.sh |
| * fix notebook tests |
| * separate unit, local mode, and notebook tests in different buildspecs |
| |
| ### Documentation changes |
| |
| * refactor the overview topic in the sphinx project |
| |
| ## v1.32.0 (2019-07-02) |
| |
| ### Features |
| |
| * support Endpoint_type for TF transform |
| |
| ### Bug fixes and other changes |
| |
| * fix git test in test_estimator.py |
| * Add ap-northeast-1 to Neo algorithms region map |
| |
| ## v1.31.1 (2019-07-01) |
| |
| ### Bug fixes and other changes |
| |
| * print build execution time |
| * remove unnecessary failure case tests |
| * build spec improvements. |
| |
| ## v1.31.0 (2019-06-27) |
| |
| ### Features |
| |
| * use deep learning images |
| |
| ### Bug fixes and other changes |
| |
| * Update buildspec.yml |
| * allow only one integration test run per time |
| * remove unnecessary P3 tests from TFS integration tests |
| * add pytest.mark.local_mode annotation to broken tests |
| |
| ## v1.30.0 (2019-06-25) |
| |
| ### Features |
| |
| * add TensorFlow 1.13 support |
| * add git_config and git_clone, validate method |
| |
| ### Bug fixes and other changes |
| |
| * add pytest.mark.local_mode annotation to broken tests |
| |
| ## v1.29.0 (2019-06-24) |
| |
| ### Features |
| |
| * network isolation mode in training |
| |
| ### Bug fixes and other changes |
| |
| * Integrate black into development process |
| * moving not canary TFS tests to local mode |
| |
| ## v1.28.3 (2019-06-20) |
| |
| ### Bug fixes and other changes |
| |
| * update Sagemaker Neo regions and instance families |
| |
| ### Documentation changes |
| |
| * fix punctuation in MXNet version list |
| * clean up MXNet and TF documentation |
| |
| ## v1.28.2 (2019-06-19) |
| |
| ### Bug fixes and other changes |
| |
| * prevent race condition in vpc tests |
| |
| ## v1.28.1 (2019-06-17) |
| |
| ### Bug fixes and other changes |
| |
| * Update setup.py |
| |
| ## v1.28.0 (2019-06-17) |
| |
| ### Features |
| |
| * Add DataProcessing Fields for Batch Transform |
| |
| ## v1.27.0 (2019-06-11) |
| |
| ### Features |
| |
| * add wait argument to estimator deploy |
| |
| ### Bug fixes and other changes |
| |
| * fix logger creation in Chainer integ test script |
| |
| ## v1.26.0 (2019-06-10) |
| |
| ### Features |
| |
| * emit estimator transformer tags to model |
| * Add extra_args to enable encrypted objects upload |
| |
| ### Bug fixes and other changes |
| |
| * downgrade c5 in integ tests and test all TF Script Mode images |
| |
| ### Documentation changes |
| |
| * include FrameworkModel and ModelPackage in API docs |
| |
| ## v1.25.1 (2019-06-06) |
| |
| ### Bug fixes and other changes |
| |
| * use unique job name in hyperparameter tuning test |
| |
| ## v1.25.0 (2019-06-03) |
| |
| ### Features |
| |
| * repack_model support dependencies and code location |
| |
| ### Bug fixes and other changes |
| |
| * skip p2 tests in ap-south-east |
| * add better default transform job name handling within Transformer |
| |
| ### Documentation changes |
| |
| * TFS support for pre/processing functions |
| |
| ## v1.24.0 (2019-05-29) |
| |
| ### Features |
| |
| * add region check for Neo service |
| |
| ## v1.23.0 (2019-05-27) |
| |
| ### Features |
| |
| * support MXNet 1.4 with MMS |
| |
| ### Documentation changes |
| |
| * update using_sklearn.rst parameter name |
| |
| ## v1.22.0 (2019-05-23) |
| |
| ### Features |
| |
| * add encryption option to "record_set" |
| |
| ### Bug fixes and other changes |
| |
| * honor source_dir from S3 |
| |
| ## v1.21.2 (2019-05-22) |
| |
| ### Bug fixes and other changes |
| |
| * set _current_job_name in attach() |
| * emit training jobs tags to estimator |
| |
| ## v1.21.1 (2019-05-21) |
| |
| ### Bug fixes and other changes |
| |
| * repack model function works without source directory |
| |
| ## v1.21.0 (2019-05-20) |
| |
| ### Features |
| |
| * Support for TFS preprocessing |
| |
| ## v1.20.3 (2019-05-15) |
| |
| ### Bug fixes and other changes |
| |
| * run tests if buildspec.yml has been modified |
| * skip local file check for TF requirements file when source_dir is an S3 URI |
| |
| ### Documentation changes |
| |
| * fix docs in regards to transform_fn for mxnet |
| |
| ## v1.20.2 (2019-05-13) |
| |
| ### Bug fixes and other changes |
| |
| * pin pytest version to 4.4.1 to avoid pluggy version conflict |
| |
| ## v1.20.1 (2019-05-09) |
| |
| ### Bug fixes and other changes |
| |
| * update TrainingInputMode with s3_input InputMode |
| |
| ## v1.20.0 (2019-05-08) |
| |
| ### Features |
| |
| * add RL Ray 0.6.5 support |
| |
| ### Bug fixes and other changes |
| |
| * prevent false positive PR test results |
| * adjust Ray test script for Ray 0.6.5 |
| |
| ## v1.19.1 (2019-05-06) |
| |
| ### Bug fixes and other changes |
| |
| * add py2 deprecation message for the deep learning framework images |
| |
| ## v1.19.0 (2019-04-30) |
| |
| ### Features |
| |
| * add document embedding support to Object2Vec algorithm |
| |
| ## v1.18.19 (2019-04-30) |
| |
| ### Bug fixes and other changes |
| |
| * skip p2/p3 tests in eu-central-1 |
| |
| ## v1.18.18 (2019-04-29) |
| |
| ### Bug fixes and other changes |
| |
| * add automatic model tuning integ test for TF script mode |
| |
| ## v1.18.17 (2019-04-25) |
| |
| ### Bug fixes and other changes |
| |
| * use unique names for test training jobs |
| |
| ## v1.18.16 (2019-04-24) |
| |
| ### Bug fixes and other changes |
| |
| * add KMS key option for Endpoint Configs |
| * skip p2 test in regions without p2s, freeze urllib3, and specify allow_pickle=True for numpy |
| * use correct TF version in empty framework_version warning |
| * remove logging level overrides |
| |
| ### Documentation changes |
| |
| * add environment setup instructions to CONTRIBUTING.md |
| * add clarification around framework version constants |
| * remove duplicate content from workflow readme |
| * remove duplicate content from RL readme |
| |
| ## v1.18.15 (2019-04-18) |
| |
| ### Bug fixes and other changes |
| |
| * fix propagation of tags to SageMaker endpoint |
| |
| ## v1.18.14.post1 (2019-04-17) |
| |
| ### Documentation changes |
| |
| * remove duplicate content from Chainer readme |
| |
| ## v1.18.14.post0 (2019-04-15) |
| |
| ### Documentation changes |
| |
| * remove duplicate content from PyTorch readme and fix internal links |
| |
| ## v1.18.14 (2019-04-11) |
| |
| ### Bug fixes and other changes |
| |
| * make Local Mode export artifacts even after failure |
| |
| ## v1.18.13 (2019-04-10) |
| |
| ### Bug fixes and other changes |
| |
| * skip horovod p3 test in region with no p3 |
| * use unique training job names in TensorFlow script mode integ tests |
| |
| ## v1.18.12 (2019-04-08) |
| |
| ### Bug fixes and other changes |
| |
| * add integ test for tagging |
| * use unique names for test training jobs |
| * Wrap horovod code inside main function |
| * add csv deserializer |
| * restore notebook test |
| |
| ## v1.18.11 (2019-04-04) |
| |
| ### Bug fixes and other changes |
| |
| * local data source relative path includes the first directory |
| * upgrade pylint and fix tagging with SageMaker models |
| |
| ### Documentation changes |
| |
| * add info about unique job names |
| |
| ## v1.18.10 (2019-04-03) |
| |
| ### Bug fixes and other changes |
| |
| * make start time, end time and period configurable in sagemaker.analytics.TrainingJobAnalytics |
| |
| ### Documentation changes |
| |
| * fix typo of argument spelling in linear learner docstrings |
| |
| ## v1.18.9.post1 (2019-04-02) |
| |
| ### Documentation changes |
| |
| * spelling error correction |
| |
| ## v1.18.9.post0 (2019-04-01) |
| |
| ### Documentation changes |
| |
| * move RL readme content into sphinx project |
| |
| ## v1.18.9 (2019-03-28) |
| |
| ### Bug fixes |
| |
| * hyperparameter query failure on script mode estimator attached to complete job |
| |
| ### Other changes |
| |
| * add EI support for TFS framework |
| |
| ### Documentation changes |
| |
| * add third-party libraries sections to using_chainer and using_pytorch topics |
| |
| ## v1.18.8 (2019-03-26) |
| |
| ### Bug fixes |
| |
| * fix ECR URI validation |
| * remove unrestrictive principal * from KMS policy tests. |
| |
| ### Documentation changes |
| |
| * edit description of local mode in overview.rst |
| * add table of contents to using_chainer topic |
| * fix formatting for HyperparameterTuner.attach() |
| |
| ## v1.18.7 (2019-03-21) |
| |
| ### Other changes |
| |
| * add pytest marks for integ tests using local mode |
| * add account number and unit tests for govcloud |
| |
| ### Documentation changes |
| |
| * move chainer readme content into sphinx and fix broken link in using_mxnet |
| |
| ## v1.18.6.post0 (2019-03-20) |
| |
| ### Documentation changes |
| |
| * add mandatory sagemaker_role argument to Local mode example. |
| |
| ## v1.18.6 (2019-03-20) |
| |
| ### Changes |
| |
| * enable new release process |
| * Update inference pipelines documentation |
| * Migrate content from workflow and pytorch readmes into sphinx project |
| * Propagate Tags from estimator to model, endpoint, and endpoint config |
| |
| ## 1.18.5 |
| |
| * bug-fix: pass kms id as parameter for uploading code with Server side encryption |
| * feature: ``PipelineModel``: Create a Transformer from a PipelineModel |
| * bug-fix: ``AlgorithmEstimator``: Make SupportedHyperParameters optional |
| * feature: ``Hyperparameter``: Support scaling hyperparameters |
| * doc-fix: Remove duplicate content from main README.rst, /tensorflow/README.rst, and /sklearn/README.rst and add links to readthedocs content |
| |
| ## 1.18.4 |
| |
| * doc-fix: Remove incorrect parameter for EI TFS Python README |
| * feature: ``Predictor``: delete SageMaker model |
| * feature: ``PipelineModel``: delete SageMaker model |
| * bug-fix: Estimator.attach works with training jobs without hyperparameters |
| * doc-fix: remove duplicate content from mxnet/README.rst |
| * doc-fix: move overview content in main README into sphynx project |
| * bug-fix: pass accelerator_type in ``deploy`` for REST API TFS ``Model`` |
| * doc-fix: move content from tf/README.rst into sphynx project |
| * doc-fix: move content from sklearn/README.rst into sphynx project |
| * doc-fix: Improve new developer experience in README |
| * feature: Add support for Coach 0.11.1 for Tensorflow |
| |
| ## 1.18.3.post1 |
| |
| * doc-fix: fix README for PyPI |
| |
| ## 1.18.3 |
| |
| * doc-fix: update information about saving models in the MXNet README |
| * doc-fix: change ReadTheDocs links from latest to stable |
| * doc-fix: add ``transform_fn`` information and fix ``input_fn`` signature in the MXNet README |
| * feature: add support for ``Predictor`` to delete endpoint configuration by default when calling ``delete_endpoint()`` |
| * feature: add support for ``Model`` to delete SageMaker model |
| * feature: add support for ``Transformer`` to delete SageMaker model |
| * bug-fix: fix default account for SKLearnModel |
| |
| ## 1.18.2 |
| |
| * enhancement: Include SageMaker Notebook Instance version number in boto3 user agent, if available. |
| * feature: Support for updating existing endpoint |
| |
| ## 1.18.1 |
| |
| * enhancement: Add ``tuner`` to imports in ``sagemaker/__init__.py`` |
| |
| ## 1.18.0 |
| |
| * bug-fix: Handle StopIteration in CloudWatch Logs retrieval |
| * feature: Update EI TensorFlow latest version to 1.12 |
| * feature: Support for Horovod |
| |
| ## 1.17.2 |
| |
| * feature: HyperparameterTuner: support VPC config |
| |
| ## 1.17.1 |
| |
| * enhancement: Workflow: Specify tasks from which training/tuning operator to transform/deploy in related operators |
| * feature: Supporting inter-container traffic encryption flag |
| |
| ## 1.17.0 |
| |
| * bug-fix: Workflow: Revert appending Airflow retry id to default job name |
| * feature: support for Tensorflow 1.12 |
| * feature: support for Tensorflow Serving 1.12 |
| * bug-fix: Revert appending Airflow retry id to default job name |
| * bug-fix: Session: don't allow get_execution_role() to return an ARN that's not a role but has "role" in the name |
| * bug-fix: Remove ``__all__`` from ``__init__.py`` files |
| * doc-fix: Add TFRecord split type to docs |
| * doc-fix: Mention ``SM_HPS`` environment variable in MXNet README |
| * doc-fix: Specify that Local Mode supports only framework and BYO cases |
| * doc-fix: Add missing classes to API docs |
| * doc-fix: Add information on necessary AWS permissions |
| * bug-fix: Remove PyYAML to let docker-compose install the right version |
| * feature: Update TensorFlow latest version to 1.12 |
| * enhancement: Add Model.transformer() |
| * bug-fix: HyperparameterTuner: make ``include_cls_metadata`` default to ``False`` for everything except Frameworks |
| |
| ## 1.16.3 |
| |
| * bug-fix: Local Mode: Allow support for SSH in local mode |
| * bug-fix: Workflow: Append retry id to default Airflow job name to avoid name collisions in retry |
| * bug-fix: Local Mode: No longer requires s3 permissions to run local entry point file |
| * feature: Estimators: add support for PyTorch 1.0.0 |
| * bug-fix: Local Mode: Move dependency on sagemaker_s3_output from rl.estimator to model |
| * doc-fix: Fix quotes in estimator.py and model.py |
| |
| ## 1.16.2 |
| |
| * enhancement: Check for S3 paths being passed as entry point |
| * feature: Add support for AugmentedManifestFile and ShuffleConfig |
| * bug-fix: Add version bound for requests module to avoid conflicts with docker-compose and docker-py |
| * bug-fix: Remove unnecessary dependency tensorflow |
| * doc-fix: Change ``distribution`` to ``distributions`` |
| * bug-fix: Increase docker-compose http timeout and health check timeout to 120. |
| * feature: Local Mode: Add support for intermediate output to a local directory. |
| * bug-fix: Update PyYAML version to avoid conflicts with docker-compose |
| * doc-fix: Correct the numbered list in the table of contents |
| * doc-fix: Add Airflow API documentation |
| * feature: HyperparameterTuner: add Early Stopping support |
| |
| ## 1.16.1.post1 |
| |
| * Documentation: add documentation for Reinforcement Learning Estimator. |
| * Documentation: update TensorFlow README for Script Mode |
| |
| ## 1.16.1 |
| |
| * feature: update boto3 to version 1.9.55 |
| |
| ## 1.16.0 |
| |
| * feature: Add 0.10.1 coach version |
| * feature: Add support for SageMaker Neo |
| * feature: Estimators: Add RLEstimator to provide support for Reinforcement Learning |
| * feature: Add support for Amazon Elastic Inference |
| * feature: Add support for Algorithm Estimators and ModelPackages: includes support for AWS Marketplace |
| * feature: Add SKLearn Estimator to provide support for SciKit Learn |
| * feature: Add Amazon SageMaker Semantic Segmentation algorithm to the registry |
| * feature: Add support for SageMaker Inference Pipelines |
| * feature: Add support for SparkML serving container |
| |
| ## 1.15.2 |
| |
| * bug-fix: Fix FileNotFoundError for entry_point without source_dir |
| * doc-fix: Add missing feature 1.5.0 in change log |
| * doc-fix: Add README for airflow |
| |
| ## 1.15.1 |
| |
| * enhancement: Local Mode: add explicit pull for serving |
| * feature: Estimators: dependencies attribute allows export of additional libraries into the container |
| * feature: Add APIs to export Airflow transform and deploy config |
| * bug-fix: Allow code_location argument to be S3 URI in training_config API |
| * enhancement: Local Mode: add explicit pull for serving |
| |
| ## 1.15.0 |
| |
| * feature: Estimator: add script mode and Python 3 support for TensorFlow |
| * bug-fix: Changes to use correct S3 bucket and time range for dataframes in TrainingJobAnalytics. |
| * bug-fix: Local Mode: correctly handle the case where the model output folder doesn't exist yet |
| * feature: Add APIs to export Airflow training, tuning and model config |
| * doc-fix: Fix typos in tensorflow serving documentation |
| * doc-fix: Add estimator base classes to API docs |
| * feature: HyperparameterTuner: add support for Automatic Model Tuning's Warm Start Jobs |
| * feature: HyperparameterTuner: Make input channels optional |
| * feature: Add support for Chainer 5.0 |
| * feature: Estimator: add support for MetricDefinitions |
| * feature: Estimators: add support for Amazon IP Insights algorithm |
| |
| ## 1.14.2 |
| |
| * bug-fix: support ``CustomAttributes`` argument in local mode ``invoke_endpoint`` requests |
| * enhancement: add ``content_type`` parameter to ``sagemaker.tensorflow.serving.Predictor`` |
| * doc-fix: add TensorFlow Serving Container docs |
| * doc-fix: fix rendering error in README.rst |
| * enhancement: Local Mode: support optional input channels |
| * build: added pylint |
| * build: upgrade docker-compose to 1.23 |
| * enhancement: Frameworks: update warning for not setting framework_version as we aren't planning a breaking change anymore |
| * feature: Estimator: add script mode and Python 3 support for TensorFlow |
| * enhancement: Session: remove hardcoded 'training' from job status error message |
| * bug-fix: Updated Cloudwatch namespace for metrics in TrainingJobsAnalytics |
| * bug-fix: Changes to use correct s3 bucket and time range for dataframes in TrainingJobAnalytics. |
| * enhancement: Remove MetricDefinition lookup via tuning job in TrainingJobAnalytics |
| |
| ## 1.14.1 |
| |
| * feature: Estimators: add support for Amazon Object2Vec algorithm |
| |
| ## 1.14.0 |
| |
| * feature: add support for sagemaker-tensorflow-serving container |
| * feature: Estimator: make input channels optional |
| |
| ## 1.13.0 |
| |
| * feature: Estimator: add input mode to training channels |
| * feature: Estimator: add model_uri and model_channel_name parameters |
| * enhancement: Local Mode: support output_path. Can be either file:// or s3:// |
| * enhancement: Added image uris for SageMaker built-in algorithms for SIN/LHR/BOM/SFO/YUL |
| * feature: Estimators: add support for MXNet 1.3.0, which introduces a new training script format |
| * feature: Documentation: add explanation for the new training script format used with MXNet |
| * feature: Estimators: add ``distributions`` for customizing distributed training with the new training script format |
| |
| ## 1.12.0 |
| |
| * feature: add support for TensorFlow 1.11.0 |
| |
| ## 1.11.3 |
| |
| * feature: Local Mode: Add support for Batch Inference |
| * feature: Add timestamp to secondary status in training job output |
| * bug-fix: Local Mode: Set correct default values for additional_volumes and additional_env_vars |
| * enhancement: Local Mode: support nvidia-docker2 natively |
| * warning: Frameworks: add warning for upcoming breaking change that makes framework_version required |
| |
| ## 1.11.2 |
| |
| * enhancement: Enable setting VPC config when creating/deploying models |
| * enhancement: Local Mode: accept short lived credentials with a warning message |
| * bug-fix: Local Mode: pass in job name as parameter for training environment variable |
| |
| ## 1.11.1 |
| |
| * enhancement: Local Mode: add training environment variables for AWS region and job name |
| * doc-fix: Instruction on how to use preview version of PyTorch - 1.0.0.dev. |
| * doc-fix: add role to MXNet estimator example in readme |
| * bug-fix: default TensorFlow json serializer accepts dict of numpy arrays |
| |
| ## 1.11.0 |
| |
| * bug-fix: setting health check timeout limit on local mode to 30s |
| * bug-fix: make Hyperparameters in local mode optional. |
| * enhancement: add support for volume KMS key to Transformer |
| * feature: add support for GovCloud |
| |
| ## 1.10.1 |
| |
| * feature: add train_volume_kms_key parameter to Estimator classes |
| * doc-fix: add deprecation warning for current MXNet training script format |
| * doc-fix: add docs on deploying TensorFlow model directly from existing model |
| * doc-fix: fix code example for using Gzip compression for TensorFlow training data |
| |
| ## 1.10.0 |
| |
| * feature: add support for TensorFlow 1.10.0 |
| |
| ## 1.9.3.1 |
| |
| * doc-fix: fix rst warnings in README.rst |
| |
| ## 1.9.3 |
| |
| * bug-fix: Local Mode: Create output/data directory expected by SageMaker Container. |
| * bug-fix: Estimator accepts the vpc configs made capable by 1.9.1 |
| |
| ## 1.9.2 |
| |
| * feature: add support for TensorFlow 1.9 |
| |
| ## 1.9.1 |
| |
| * bug-fix: Estimators: Fix serialization of single records |
| * bug-fix: deprecate enable_cloudwatch_metrics from Framework Estimators. |
| * enhancement: Enable VPC config in training job creation |
| |
| ## 1.9.0 |
| |
| * feature: Estimators: add support for MXNet 1.2.1 |
| |
| ## 1.8.0 |
| |
| * bug-fix: removing PCA from tuner |
| * feature: Estimators: add support for Amazon k-nearest neighbors(KNN) algorithm |
| |
| ## 1.7.2 |
| |
| * bug-fix: Prediction output for the TF_JSON_SERIALIZER |
| * enhancement: Add better training job status report |
| |
| ## 1.7.1 |
| |
| * bug-fix: get_execution_role no longer fails if user can't call get_role |
| * bug-fix: Session: use existing model instead of failing during ``create_model()`` |
| * enhancement: Estimator: allow for different role from the Estimator's when creating a Model or Transformer |
| |
| ## 1.7.0 |
| |
| * feature: Transformer: add support for batch transform jobs |
| * feature: Documentation: add instructions for using Pipe Mode with TensorFlow |
| |
| ## 1.6.1 |
| |
| * feature: Added multiclass classification support for linear learner algorithm. |
| |
| ## 1.6.0 |
| |
| * feature: Add Chainer 4.1.0 support |
| |
| ## 1.5.4 |
| |
| * feature: Added Docker Registry for all 1p algorithms in amazon_estimator.py |
| * feature: Added get_image_uri method for 1p algorithms in amazon_estimator.py |
| * Support SageMaker algorithms in FRA and SYD regions |
| |
| ## 1.5.3 |
| |
| * bug-fix: Can create TrainingJobAnalytics object without specifying metric_names. |
| * bug-fix: Session: include role path in ``get_execution_role()`` result |
| * bug-fix: Local Mode: fix RuntimeError handling |
| |
| ## 1.5.2 |
| |
| * Support SageMaker algorithms in ICN region |
| |
| ## 1.5.1 |
| |
| * enhancement: Let Framework models reuse code uploaded by Framework estimators |
| * enhancement: Unify generation of model uploaded code location |
| * feature: Change minimum required scipy from 1.0.0 to 0.19.0 |
| * feature: Allow all Framework Estimators to use a custom docker image. |
| * feature: Option to add Tags on SageMaker Endpoints |
| |
| ## 1.5.0 |
| |
| * feature: Add Support for PyTorch Framework |
| * feature: Estimators: add support for TensorFlow 1.7.0 |
| * feature: Estimators: add support for TensorFlow 1.8.0 |
| * feature: Allow Local Serving of Models in S3 |
| * enhancement: Allow option for ``HyperparameterTuner`` to not include estimator metadata in job |
| * bug-fix: Estimators: Join tensorboard thread after fitting |
| |
| ## 1.4.2 |
| |
| * bug-fix: Estimators: Fix attach for LDA |
| * bug-fix: Estimators: allow code_location to have no key prefix |
| * bug-fix: Local Mode: Fix s3 training data download when there is a trailing slash |
| |
| ## 1.4.1 |
| |
| * bug-fix: Local Mode: Fix for non Framework containers |
| |
| ## 1.4.0 |
| |
| * bug-fix: Remove __all__ and add noqa in __init__ |
| * bug-fix: Estimators: Change max_iterations hyperparameter key for KMeans |
| * bug-fix: Estimators: Remove unused argument job_details for ``EstimatorBase.attach()`` |
| * bug-fix: Local Mode: Show logs in Jupyter notebooks |
| * feature: HyperparameterTuner: Add support for hyperparameter tuning jobs |
| * feature: Analytics: Add functions for metrics in Training and Hyperparameter Tuning jobs |
| * feature: Estimators: add support for tagging training jobs |
| |
| ## 1.3.0 |
| |
| * feature: Add chainer |
| |
| ## 1.2.5 |
| |
| * bug-fix: Change module names to string type in __all__ |
| * feature: Save training output files in local mode |
| * bug-fix: tensorflow-serving-api: SageMaker does not conflict with tensorflow-serving-api module version |
| * feature: Local Mode: add support for local training data using file:// |
| * feature: Updated TensorFlow Serving api protobuf files |
| * bug-fix: No longer poll for logs from stopped training jobs |
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| ## 1.2.4 |
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| * feature: Estimators: add support for Amazon Random Cut Forest algorithm |
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| ## 1.2.3 |
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| * bug-fix: Fix local mode not using the right s3 bucket |
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| ## 1.2.2 |
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| * bug-fix: Estimators: fix valid range of hyper-parameter 'loss' in linear learner |
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| ## 1.2.1 |
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| * bug-fix: Change Local Mode to use a sagemaker-local docker network |
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| ## 1.2.0 |
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| * feature: Add Support for Local Mode |
| * feature: Estimators: add support for TensorFlow 1.6.0 |
| * feature: Estimators: add support for MXNet 1.1.0 |
| * feature: Frameworks: Use more idiomatic ECR repository naming scheme |
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| ## 1.1.3 |
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| * bug-fix: TensorFlow: Display updated data correctly for TensorBoard launched from ``run_tensorboard_locally=True`` |
| * feature: Tests: create configurable ``sagemaker_session`` pytest fixture for all integration tests |
| * bug-fix: Estimators: fix inaccurate hyper-parameters in kmeans, pca and linear learner |
| * feature: Estimators: Add new hyperparameters for linear learner. |
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| ## 1.1.2 |
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| * bug-fix: Estimators: do not call create bucket if data location is provided |
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| ## 1.1.1 |
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| * feature: Estimators: add ``requirements.txt`` support for TensorFlow |
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| ## 1.1.0 |
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| * feature: Estimators: add support for TensorFlow-1.5.0 |
| * feature: Estimators: add support for MXNet-1.0.0 |
| * feature: Tests: use ``sagemaker_timestamp`` when creating endpoint names in integration tests |
| * feature: Session: print out billable seconds after training completes |
| * bug-fix: Estimators: fix LinearLearner and add unit tests |
| * bug-fix: Tests: fix timeouts for PCA async integration test |
| * feature: Predictors: allow ``predictor.predict()`` in the JSON serializer to accept dictionaries |
| |
| ## 1.0.4 |
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| * feature: Estimators: add support for Amazon Neural Topic Model(NTM) algorithm |
| * feature: Documentation: fix description of an argument of sagemaker.session.train |
| * feature: Documentation: add FM and LDA to the documentation |
| * feature: Estimators: add support for async fit |
| * bug-fix: Estimators: fix estimator role expansion |
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| ## 1.0.3 |
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| * feature: Estimators: add support for Amazon LDA algorithm |
| * feature: Hyperparameters: add data_type to hyperparameters |
| * feature: Documentation: update TensorFlow examples following API change |
| * feature: Session: support multi-part uploads |
| * feature: add new SageMaker CLI |
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| ## 1.0.2 |
| |
| * feature: Estimators: add support for Amazon FactorizationMachines algorithm |
| * feature: Session: correctly handle TooManyBuckets error_code in default_bucket method |
| * feature: Tests: add training failure tests for TF and MXNet |
| * feature: Documentation: show how to make predictions against existing endpoint |
| * feature: Estimators: implement write_spmatrix_to_sparse_tensor to support any scipy.sparse matrix |
| |
| ## 1.0.1 |
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| * api-change: Model: Remove support for 'supplemental_containers' when creating Model |
| * feature: Documentation: multiple updates |
| * feature: Tests: ignore tests data in tox.ini, increase timeout for endpoint creation, capture exceptions during endpoint deletion, tests for input-output functions |
| * feature: Logging: change to describe job every 30s when showing logs |
| * feature: Session: use custom user agent at all times |
| * feature: Setup: add travis file |
| |
| ## 1.0.0 |
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| * Initial commit |
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