sagemaker-python-sdk

Features

• add mypy tox target

Bug Fixes and Other Changes

• break out methods to get processing arguments
• break out methods to get train arguments

Bug Fixes and Other Changes

• check ast node on later renamers for cli v2 updater

Documentation Changes

• Clarify removals in v2

Bug Fixes and Other Changes

• update rulesconfig to 0.1.5

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

Features

• support TF training 2.3

Documentation Changes

• update 1p estimators class description

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

Features

• add DLC account numbers for af-south-1 and eu-south-1

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

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

Features

• Neo: Add Granular Target Description support for compilation

Documentation Changes

• Add xgboost doc on bring your own model
• fix typos on processing docs

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

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

Bug Fixes and Other Changes

• convert network_config in processing_config to dict

Documentation Changes

• Add ECR URI Estimator example

Bug Fixes and Other Changes

• Nullable fields in processing_config

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

Features

• Add ModelClientConfig Fields for Batch Transform

Documentation Changes

• add KFP Processing component

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

Features

• add spot instance support for AlgorithmEstimator

Documentation Changes

• add xgboost documentation for inference

Documentation Changes

• add Step Functions SDK info

Bug Fixes and Other Changes

• add deprecation warnings for estimator.delete_endpoint() and tuner.delete_endpoint()