* 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
Not secure
* Support SageMaker algorithms in ICN region
1.5.1
Not secure
* 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
Not secure
* 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
Not secure
* 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
Not secure
* bug-fix: Local Mode: Fix for non Framework containers