Create a SageMaker endpoint config.

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Last Updated: Jan. 23, 2021

Access Instructions

Install the Amazon provider package into your Airflow environment.

Import the module into your DAG file and instantiate it with your desired params.


configdictThe configuration necessary to create an endpoint config.For details of the configuration parameter see :py:meth:`SageMaker.Client.create_endpoint_config`No role entry for "py:meth" in module "docutils.parsers.rst.languages.en". Trying "py:meth" as canonical role name.Unknown interpreted text role "py:meth".
aws_conn_idstrThe AWS connection ID to use.


Create a SageMaker endpoint config.

This operator returns The ARN of the endpoint config created in Amazon SageMaker

Example DAGs

Improve this module by creating an example DAG.

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  1. Add an `example_dags` directory to the top-level source of the provider package with an empty `` file.
  2. Add your DAG to this directory. Be sure to include a well-written and descriptive docstring
  3. Create a pull request against the source code. Once the package gets released, your DAG will show up on the Registry.

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