testbed/aws__sagemaker-python-sdk/CHANGELOG.md

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