* 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
1.4.0
Not secure
* 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