| # Changelog | |
| ## v2.113.0 (2022-10-21) | |
| ### Features | |
| * support torch_distributed distribution for Trainium instances | |
| ### Bug Fixes and Other Changes | |
| * bump apache-airflow from 2.4.0 to 2.4.1 in /requirements/extras | |
| ### Documentation Changes | |
| * fix kwargs and descriptions of the smdmp checkpoint function | |
| * add the doc for the MonitorBatchTransformStep | |
| ## v2.112.2 (2022-10-11) | |
| ### Bug Fixes and Other Changes | |
| * Update Neo-TF2.x versions to TF2.9(.2) | |
| ### Documentation Changes | |
| * fix typo in PR template | |
| ## v2.112.1 (2022-10-10) | |
| ### Bug Fixes and Other Changes | |
| * fix(local-mode): loosen docker requirement to allow 6.0.0 | |
| * CreateModelPackage API error for Scikit-learn and XGBoost frameworkss | |
| ## v2.112.0 (2022-10-09) | |
| ### Features | |
| * added monitor batch transform step (pipeline) | |
| ### Bug Fixes and Other Changes | |
| * Add PipelineVariable annotation to framework estimators | |
| ## v2.111.0 (2022-10-05) | |
| ### Features | |
| * Edit test file for supporting TF 2.10 training | |
| ### Bug Fixes and Other Changes | |
| * 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 | |
| ### Documentation Changes | |
| * add context for pytorch | |
| ## v2.110.0 (2022-09-27) | |
| ### Features | |
| * Support KeepAlivePeriodInSeconds for Training APIs | |
| * added ANALYSIS_CONFIG_SCHEMA_V1_0 in clarify | |
| * add model monitor image accounts for ap-southeast-3 | |
| ### Bug Fixes and Other Changes | |
| * 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 | |
| ### Documentation Changes | |
| * Added link to example notebook for Pipelines local mode | |
| ## v2.109.0 (2022-09-09) | |
| ### Features | |
| * add search filters | |
| ### Bug Fixes and Other Changes | |
| * 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 | |
| ### Documentation Changes | |
| * the SageMaker model parallel library 1.11.0 release | |
| ## v2.108.0 (2022-09-02) | |
| ### Features | |
| * Adding support in HuggingFace estimator for Training Compiler enhanced PyTorch 1.11 | |
| ### Bug Fixes and Other Changes | |
| * 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 | |
| ### Documentation Changes | |
| * add more info about volume_size | |
| ## v2.107.0 (2022-08-29) | |
| ### Features | |
| * support python 3.10, update airflow dependency | |
| ### Bug Fixes and Other Changes | |
| * Add retry in session.py to check if training is finished | |
| ### Documentation Changes | |
| * remove Other tab in Built-in algorithms section and mi… | |
| ## v2.106.0 (2022-08-24) | |
| ### Features | |
| * Implement Kendra Search in RTD website | |
| ### Bug Fixes and Other Changes | |
| * Add primitive_or_expr() back to conditions | |
| * remove specifying env-vars when creating model from model package | |
| * Add CGK in config for Spark Image | |
| ## v2.105.0 (2022-08-19) | |
| ### Features | |
| * Added endpoint_name to clarify.ModelConfig | |
| * adding workgroup functionality to athena query | |
| ### Bug Fixes and Other Changes | |
| * disable debugger/profiler in cgk region | |
| * using unique name for lineage test to unblock PR checks | |
| ### Documentation Changes | |
| * update first-party algorithms and structural updates | |
| ## v2.104.0 (2022-08-17) | |
| ### Features | |
| * local mode executor implementation | |
| * Pipelines local mode setup | |
| * Add PT 1.12 support | |
| * added _AnalysisConfigGenerator for clarify | |
| ### Bug Fixes and Other Changes | |
| * 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 | |
| ### Documentation Changes | |
| * New content for Pipelines local mode | |
| * Correct documentation error | |
| ## v2.103.0 (2022-08-05) | |
| ### Features | |
| * AutoGluon 0.4.3 and 0.5.2 image_uris | |
| ### Bug Fixes and Other Changes | |
| * 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 | |
| ## v2.102.0 (2022-08-04) | |
| ### Features | |
| * add warnings for xgboost specific rules in debugger rules | |
| * Add PyTorch DDP distribution support | |
| * Add test for profiler enablement with debugger_hook false | |
| ### Bug Fixes and Other Changes | |
| * 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 | |
| ### Documentation Changes | |
| * smdistributed libraries currency updates | |
| ## v2.101.1 (2022-07-28) | |
| ### Bug Fixes and Other Changes | |
| * added more ml frameworks supported by SageMaker Workflows | |
| * test: Vspecinteg2 | |
| * Add PipelineVariable annotation in amazon models | |
| ## v2.101.0 (2022-07-27) | |
| ### Features | |
| * Algorithms region launch on CGK | |
| * enhance-bucket-override-support | |
| * infer framework and version | |
| * support clarify bias detection when facets not included | |
| * Add CGK region to frameworks by DLC | |
| ### Bug Fixes and Other Changes | |
| * Make repack step output path align with model repack path | |
| * Support parameterized source code input for TrainingStep | |
| ### Documentation Changes | |
| * heterogeneous cluster api doc fix | |
| * smdmp v1.10 release note | |
| ## v2.100.0 (2022-07-18) | |
| ### Features | |
| * upgrade to support python 3.10 | |
| * Add target_model to support multi-model endpoints | |
| * Added support for feature group schema change and feature parameters | |
| ### Bug Fixes and Other Changes | |
| * enable model.register without 'inference' & 'transform' instances | |
| * rename RegisterModel inner steps to prevent duplicate step names | |
| * remove primitive_or_expr() from conditions | |
| * support pipeline variables for spark processors run arguments | |
| * make 'ModelInput' field optional for inference recommendation | |
| * Fix processing image uri param | |
| * fix: neo inferentia as compilation target not using framework ver | |
| ### Documentation Changes | |
| * SageMaker model parallel library v1.10.0 documentation | |
| * add detail & links to clarify docstrings | |
| ## v2.99.0 (2022-07-08) | |
| ### Features | |
| * heterogeneous cluster set up in distribution config | |
| * support heterogeneous cluster for training | |
| * include fields to work with inference recommender | |
| ### Bug Fixes and Other Changes | |
| * Moving the newly added field instance_group to the end of method | |
| * image_uri does not need to be specified with instance_groups | |
| * Loosen version of attrs dependency | |
| * Add PipelineVariable annotation in estimatory, processing, tuner, transformer base classes | |
| * model table link | |
| ### Documentation Changes | |
| * documentation for heterogeneous cluster | |
| ## v2.98.0 (2022-07-05) | |
| ### Features | |
| * Adding deepar image | |
| ### Documentation Changes | |
| * edit to clarify how to use inference.py | |
| ## v2.97.0 (2022-06-28) | |
| ### Deprecations and Removals | |
| * remove support for python 3.6 | |
| ### Features | |
| * update prebuilt models documentation | |
| ### Bug Fixes and Other Changes | |
| * Skipping test_candidate_estimator_default_rerun_and_deploy | |
| * Update model name from 'compiled.pt' to 'model.pth' for neo | |
| * update pytest, skip hf integ temp | |
| * Add override_pipeline_parameter_var decorator to give grace period to update invalid pipeline var args | |
| ## v2.96.0 (2022-06-20) | |
| ### Features | |
| * Add helper method to generate pipeline adjacency list | |
| ### Bug Fixes and Other Changes | |
| * changing trcomp integ tests to be able to run in all regions | |
| ## v2.95.0 (2022-06-16) | |
| ### Features | |
| * Adding Training Compiler support for TensorFlow estimator starting TF 2.9 | |
| * Add support for TF 2.9 training | |
| ### Bug Fixes and Other Changes | |
| * integs fallback from p3 to p2 instance | |
| * bucket exists check for session.default_bucket | |
| * make instance type fields as optional | |
| ### Documentation Changes | |
| * improvements on the docstring of ModelStep | |
| * Add XGBoostProcessor | |
| ## v2.94.0 (2022-06-07) | |
| ### Features | |
| * AutoGluon 0.4.2 image_uris support | |
| ## v2.93.1 (2022-06-06) | |
| ### Bug Fixes and Other Changes | |
| * add input parameterization tests for workflow job steps | |
| * add parameterized tests to transformer | |
| ## v2.93.0 (2022-06-03) | |
| ### Features | |
| * MxNet 1.9 support | |
| ### Bug Fixes and Other Changes | |
| * bump importlib-metadata version upperbound to support TF2.9 | |
| * fix pipeline doc code example where process.run only accepts argument | |
| * Fix Tensorflow default model_dir generation when output_path is pipeline variable | |
| * Support transformer data parameterization | |
| ## v2.92.2 (2022-05-31) | |
| ### Bug Fixes and Other Changes | |
| * turn off Pipeline Parameter inheritance from python primitives | |
| * Add more validations for pipeline step new interfaces | |
| * Changed method description per AWS request | |
| ## v2.92.1 (2022-05-26) | |
| ### Bug Fixes and Other Changes | |
| * pin protobuf to < 4.0 to fix breaking change | |
| ## v2.92.0 (2022-05-26) | |
| ### Features | |
| * add 'Domain' property to RegisterModel step | |
| ### Bug Fixes and Other Changes | |
| * support estimator output path parameterization | |
| * Add back Prevent passing PipelineVariable object into image_uris.retrieve | |
| * jumpstart amt tracking | |
| * fix missing register method params for framework models | |
| * fix docstring for decorated functions | |
| * Documents: add sagemaker model building pipeline readthedocs | |
| ## v2.91.1 (2022-05-19) | |
| ### Bug Fixes and Other Changes | |
| * Revert Prevent passing PipelineVariable object into image_uris.retrieve | |
| ## v2.91.0 (2022-05-19) | |
| ### Features | |
| * Support Properties for StepCollection | |
| ### Bug Fixes and Other Changes | |
| * Prevent passing PipelineVariable object into image_uris.retrieve | |
| * support image_uri being property ref for model | |
| * ResourceConflictException from AWS Lambda on pipeline upsert | |
| ### Documentation Changes | |
| * release notes for SMDDP 1.4.1 and SMDMP 1.9.0 | |
| ## v2.90.0 (2022-05-16) | |
| ### Features | |
| * Add ModelStep for SageMaker Model Building Pipeline | |
| ### Bug Fixes and Other Changes | |
| * update setup.py to add minimum python requirement of 3.6 | |
| ## v2.89.0 (2022-05-11) | |
| ### Features | |
| * Add PT 1.11 support | |
| * add validation specification | |
| ### Bug Fixes and Other Changes | |
| * repack model locally when local_code local mode | |
| ### Documentation Changes | |
| * smdmp 1.8.1 release note | |
| ## v2.88.3 (2022-05-06) | |
| ### Bug Fixes and Other Changes | |
| * deprecate: Remove deprecated argument s3_data_distribution_type | |
| * Feat/jumpstart model table update | |
| ## v2.88.2 (2022-05-02) | |
| ### Bug Fixes and Other Changes | |
| * Automl integ describe job check | |
| * Implement subclass compatibility for workflow pipeline job steps | |
| ## v2.88.1 (2022-04-27) | |
| ### Bug Fixes and Other Changes | |
| * Add encryption setting to tar_and_upload_dir method | |
| ## v2.88.0 (2022-04-26) | |
| ### Features | |
| * jumpstart notebook utils -- list model ids, scripts, tasks, frameworks | |
| ### Bug Fixes and Other Changes | |
| * local mode printing of credentials during docker login closes #2180 | |
| * disable endpoint context test | |
| ### Documentation Changes | |
| * sm model parallel 1.8.0 release notes | |
| ## v2.87.0 (2022-04-20) | |
| ### Features | |
| * Add Jumpstart example notebooks | |
| * add Tensorflow and Pytorch version for SM Training Compiler and expand to regular regions | |
| ### Bug Fixes and Other Changes | |
| * 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 | |
| ## v2.86.2 (2022-04-14) | |
| ### Bug Fixes and Other Changes | |
| * #using uuid to randomize, otherwise system timestamp is used | |
| ## v2.86.1 (2022-04-13) | |
| ### Bug Fixes and Other Changes | |
| * xgboost, sklearn network isolation for jumpstart | |
| ### Documentation Changes | |
| * fix minor typo | |
| ## v2.86.0 (2022-04-12) | |
| ### Features | |
| * Adds Spark Processing Notebook to Notebook Tests | |
| ## v2.85.0 (2022-04-11) | |
| ### Features | |
| * update lambda code on pipeline create/update/upsert for Lamb… | |
| * jumpstart model url | |
| * add serverless inference image_uri retrieve support | |
| ### Bug Fixes and Other Changes | |
| * Add back the Fix for Pipeline variables related customer issues | |
| * Support file URIs in ProcessingStep's code parameter | |
| ## v2.84.0 (2022-04-07) | |
| ### Features | |
| * dependabot integ - move all deps to requirements.txt | |
| * add xgboost framework version 1.5-1 | |
| ## v2.83.0 (2022-04-04) | |
| ### Features | |
| * Hugging Face Transformers 4.17 for TF 2.6 | |
| ### Bug Fixes and Other Changes | |
| * IOC image version select issue | |
| ## v2.82.2 (2022-04-01) | |
| ### Bug Fixes and Other Changes | |
| * Revert "fix: Fix Pipeline variables related customer issues (#2959)" | |
| * Refactor repack_model script injection, fixes tar.gz error | |
| ## v2.82.1 (2022-03-31) | |
| ### Bug Fixes and Other Changes | |
| * 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) | |
| ### Features | |
| * pluggable instance fallback mechanism, add CapacityError | |
| * support passing Env Vars to local mode training | |
| ## v2.81.1 (2022-03-29) | |
| ### Bug Fixes and Other Changes | |
| * Update black-check version, add support for Spark 3.1 Processing | |
| ## v2.81.0 (2022-03-26) | |
| ### Features | |
| * Retrieve data configuration | |
| * enable EnableInterContainerTrafficEncryption for model monitoring | |
| * Hugging Face Transformers 4.17 for PT 1.10 | |
| ### Bug Fixes and Other Changes | |
| * remove `new` from serverless | |
| * temporarily skip tests impacted by data inconsistency | |
| * Implement override solution for pipeline variables | |
| ### Documentation Changes | |
| * add documentation for image_uri serverless use case | |
| * minor fixes for smddp 1.4.0 doc | |
| ## v2.80.0 (2022-03-18) | |
| ### Features | |
| * 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 | |
| ### Bug Fixes and Other Changes | |
| * 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 | |
| * sagemaker distributed model parallel 1.7.0 doc | |
| ## v2.79.0 (2022-03-16) | |
| ### Features | |
| * Inferentia Neuron support for HuggingFace | |
| * custom base job name for jumpstart models/estimators | |
| * Python 3.9 for readthedocs | |
| ### Bug Fixes and Other Changes | |
| * container env generation for S3 URI and add test for the same | |
| ### Documentation Changes | |
| * the SageMaker distributed data parallel v1.4.0 release | |
| * update sagemaker training compiler docstring | |
| * smddp doc update | |
| ## v2.78.0 (2022-03-07) | |
| ### Features | |
| * TensorFlow 2.4 for Neo | |
| * Data Serializer | |
| ### Bug Fixes and Other Changes | |
| * 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) | |
| ### Bug Fixes and Other Changes | |
| * jumpstart model table | |
| ## v2.77.0 (2022-02-22) | |
| ### Features | |
| * override jumpstart content bucket | |
| * jumpstart model ID suggestions | |
| * adding customer metadata support to registermodel step | |
| ### Bug Fixes and Other Changes | |
| * 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) | |
| ### Features | |
| * Add FailStep Support for Sagemaker Pipeline | |
| ### Bug Fixes and Other Changes | |
| * 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 | |
| * Support for generation of Jumpstart model table on build | |
| ## v2.75.1 (2022-02-08) | |
| ### Bug Fixes and Other Changes | |
| * Add CMH to the non-P3 list | |
| ## v2.75.0 (2022-02-05) | |
| ### Features | |
| * JumpStart Integration | |
| * Adds support for async inference | |
| * Update instance types for integ test | |
| ### Bug Fixes and Other Changes | |
| * 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 | |
| ### Documentation Changes | |
| * Jumpstart doc strings and added new sections | |
| * Add Jumpstart support documentation | |
| ## v2.74.0 (2022-01-26) | |
| ### Features | |
| * Add support for SageMaker lineage queries context | |
| ### Bug Fixes and Other Changes | |
| * support specifying a facet by its column index | |
| ### Documentation Changes | |
| * more documentation for serverless inference | |
| ## v2.73.0 (2022-01-19) | |
| ### Features | |
| * 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) | |
| ### Features | |
| * default repack encryption | |
| * support large pipeline | |
| * add support for pytorch 1.10.0 | |
| ### Documentation Changes | |
| * SageMaker model parallel library 1.6.0 API doc | |
| ### Bug Fixes and Other Changes | |
| * 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) | |
| ### Bug Fixes and Other Changes | |
| * 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 | |
| ## 1.2.4 | |
| * feature: Estimators: add support for Amazon Random Cut Forest algorithm | |
| ## 1.2.3 | |
| * bug-fix: Fix local mode not using the right s3 bucket | |
| ## 1.2.2 | |
| * bug-fix: Estimators: fix valid range of hyper-parameter 'loss' in linear learner | |
| ## 1.2.1 | |
| * bug-fix: Change Local Mode to use a sagemaker-local docker network | |
| ## 1.2.0 | |
| * 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 | |
| ## 1.1.3 | |
| * 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. | |
| ## 1.1.2 | |
| * bug-fix: Estimators: do not call create bucket if data location is provided | |
| ## 1.1.1 | |
| * feature: Estimators: add ``requirements.txt`` support for TensorFlow | |
| ## 1.1.0 | |
| * 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 | |
| * 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 | |
| ## 1.0.3 | |
| * 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 | |
| ## 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 | |
| * 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 | |
| * Initial commit | |