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sagemaker-python-sdk - SageMaker Python SDK 1.5.3

Published by nadiaya over 6 years ago

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

sagemaker-python-sdk - SageMaker Python SDK 1.5.2

Published by nadiaya over 6 years ago

Support SageMaker algorithms in ICN region.

sagemaker-python-sdk - SageMaker Python SDK 1.5.1

Published by laurenyu over 6 years ago

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

sagemaker-python-sdk - SageMaker Python SDK 1.5.0

Published by nadiaya over 6 years ago

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

sagemaker-python-sdk - SageMaker Python SDK 1.4.2

Published by nadiaya over 6 years ago

bug-fix: Unit Tests: Improve unit test runtime
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

sagemaker-python-sdk - SageMaker Python SDK 1.4.1

Published by iquintero over 6 years ago

bug-fix: Local Mode: Fix for non Framework containers

sagemaker-python-sdk - SageMaker Python SDK 1.4.0

Published by ChoiByungWook over 6 years ago

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

sagemaker-python-sdk - SageMaker Python SDK 1.3.0

Published by andremoeller over 6 years ago

feature: add chainer

sagemaker-python-sdk - SageMaker Python SDK 1.2.5

Published by andremoeller over 6 years ago

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

sagemaker-python-sdk - SageMaker Python SDK 1.2.4

Published by ChoiByungWook over 6 years ago

feature: Estimators: add support for Amazon Random Cut Forest algorithm

sagemaker-python-sdk - SageMaker Python SDK 1.2.3

Published by iquintero over 6 years ago

1.2.3

bug-fix: Fix local mode not using the right s3 bucket

sagemaker-python-sdk - SageMaker Python SDK v1.2.2

Published by owen-t over 6 years ago

1.2.2

bug-fix: Estimators: fix valid range of hyper-parameter 'loss' in linear learner

sagemaker-python-sdk - SageMaker Python SDK 1.2.1

Published by iquintero over 6 years ago

1.2.1

bug-fix: Change Local Mode to use a sagemaker-local docker network

sagemaker-python-sdk -

Published by winstonaws over 6 years ago

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

sagemaker-python-sdk - SageMaker Python SDK 1.1.3

Published by yangaws over 6 years ago

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: AmazonEstimators: fix inaccurate hyper-parameters in kmeans, pca and linear learner
feature: Add new hyperparameters for linear learner.

sagemaker-python-sdk - SageMaker Python SDK 1.1.2

Published by andremoeller over 6 years ago

bug-fix: AmazonEstimators: do not call create bucket if data location is provided

sagemaker-python-sdk - SageMaker Python SDK 1.1.1

Published by nadiaya over 6 years ago

feature: Estimators: add requirements.txt support for TensorFlow

sagemaker-python-sdk - SageMaker Python SDK 1.0.1

Published by laurenyu over 6 years ago

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

sagemaker-python-sdk - SageMaker Python SDK 1.1.0

Published by iquintero over 6 years ago

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