sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

APACHE-2.0 License

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Ecosystems: Python, PyTorch, Tensorflow, Amazon Web Services

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sagemaker-python-sdk - Sagemaker Python SDK 1.18.5

Published by mvsusp over 5 years ago

  • 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
sagemaker-python-sdk - Sagemaker Python SDK 1.18.4

Published by iquintero over 5 years ago

  • doc-fix: Remove incorrect parameter for EI TFS Python README
  • feature: Predictor: delete SageMaker model
  • feature: Pipeline: 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
sagemaker-python-sdk - SageMaker Python SDK 1.18.3.post1

Published by ChoiByungWook over 5 years ago

  • doc-fix: fix README for PyPI
sagemaker-python-sdk - SageMaker Python SDK 1.18.3

Published by laurenyu over 5 years ago

  • 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
sagemaker-python-sdk - SageMaker Python SDK 1.18.2

Published by yangaws over 5 years ago

  • enhancement: Include SageMaker Notebook Instance version number in boto3 user agent, if available.
  • feature: Support for updating existing endpoint
sagemaker-python-sdk - SageMaker Python SDK 1.18.1

Published by laurenyu over 5 years ago

  • enhancement: Add tuner to imports in sagemaker/__init__.py
sagemaker-python-sdk - SageMaker Python SDK 1.18.0

Published by uditbhatia almost 6 years ago

  • bug-fix: Handle StopIteration in CloudWatch Logs retrieval
  • feature: Update EI TensorFlow latest version to 1.12
  • feature: Support for Horovod
sagemaker-python-sdk - SageMaker Python SDK 1.17.2

Published by laurenyu almost 6 years ago

  • feature: HyperparameterTuner: support VPC config
sagemaker-python-sdk - SageMaker Python SDK 1.17.1

Published by ChoiByungWook almost 6 years ago

  • enhancement: Workflow: Specify tasks from which training/tuning operator to transform/deploy in related operators
  • feature: Supporting inter-container traffic encryption flag
sagemaker-python-sdk - SageMaker Python SDK 1.17.0

Published by icywang86rui almost 6 years ago

  • 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
sagemaker-python-sdk - SageMaker Python SDK 1.16.3

Published by nadiaya almost 6 years ago

  • bug-fix: Local Mode: Allow support for SSH in local mode
  • bug-fix: 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
sagemaker-python-sdk - SageMaker Python SDK 1.16.2

Published by laurenyu almost 6 years ago

  • 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
sagemaker-python-sdk - SageMaker Python SDK 1.16.1.post1

Published by nadiaya almost 6 years ago

  • Documentation: add documentation for Reinforcement Learning Estimator.
  • Documentation: update TensorFlow README for Script Mode
sagemaker-python-sdk - SageMaker Python SDK 1.16.1

Published by jesterhazy almost 6 years ago

  • feature: update boto3 to version 1.9.55
  • 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
sagemaker-python-sdk - SageMaker Python SDK 1.15.2

Published by jesterhazy almost 6 years ago

  • 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
sagemaker-python-sdk - SageMaker Python SDK 1.15.1

Published by jesterhazy almost 6 years ago

  • 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
sagemaker-python-sdk - SageMaker Python SDK 1.15.0

Published by laurenyu almost 6 years ago

  • 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
sagemaker-python-sdk - SageMaker Python SDK 1.14.2

Published by iquintero almost 6 years ago

  • 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
  • enhancement: Session: remove hardcoded 'training' from job status error message
  • bug-fix: Updated Cloudwatch namespace for metrics in TrainingJobsAnalytics
sagemaker-python-sdk - SageMaker Python SDK 1.14.1

Published by laurenyu almost 6 years ago

  • feature: Estimators: add support for Amazon Object2Vec algorithm
sagemaker-python-sdk - SageMaker Python SDK 1.14.0

Published by jesterhazy almost 6 years ago

  • feature: add support for sagemaker-tensorflow-serving container
  • feature: Estimator: make input channels optional
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