Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
Sagemaker Python SDK 1.18.5
- 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 1.18.4
- 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 TFSModel
- 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 1.18.3.post1
- doc-fix: fix README for PyPI
SageMaker Python SDK 1.18.3
- 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 fixinput_fn
signature in the MXNet README - feature: add support for
Predictor
to delete endpoint configuration by default when callingdelete_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 1.18.2
- enhancement: Include SageMaker Notebook Instance version number in boto3 user agent, if available.
- feature: Support for updating existing endpoint
SageMaker Python SDK 1.18.1
- enhancement: Add
tuner
to imports insagemaker/__init__.py
SageMaker Python SDK 1.18.0
- bug-fix: Handle StopIteration in CloudWatch Logs retrieval
- feature: Update EI TensorFlow latest version to 1.12
- feature: Support for Horovod
SageMaker Python SDK 1.17.2
- feature: HyperparameterTuner: support VPC config
SageMaker Python SDK 1.17.1
- 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 1.17.0
- 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