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+# 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