Amazon SageMaker Runtime

2020/06/05 - 1 updated api methods

Changes   You can now specify the production variant to send the inference request to, when invoking a SageMaker Endpoint that is running two or more variants.

2019/11/18 - 1 updated api methods

Changes   Amazon SageMaker now supports multi-model endpoints to host multiple models on an endpoint using a single inference container.

2018/08/29 - 1 updated api methods

Changes   SageMaker Runtime supports CustomAttributes header which allows customers provide additional information in a request for an inference submitted to a model or in the response about the inference returned by a model hosted at an Amazon SageMaker endpoint.

2017/11/29 - 1 new api methods

Changes   Amazon SageMaker is a fully-managed service that enables data scientists and developers to quickly and easily build, train, and deploy machine learning models, at scale.