Skip to content

Latest commit

 

History

History
100 lines (71 loc) · 3.07 KB

CHANGELOG.rst

File metadata and controls

100 lines (71 loc) · 3.07 KB
Raw

CHANGELOG

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