airflow.contrib.operators.sagemaker_endpoint_operator¶
Module Contents¶
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class airflow.contrib.operators.sagemaker_endpoint_operator.SageMakerEndpointOperator(config, wait_for_completion=True, check_interval=30, max_ingestion_time=None, operation='create', *args, **kwargs)[source]¶
- Bases: - airflow.contrib.operators.sagemaker_base_operator.SageMakerBaseOperator- Create a SageMaker endpoint. - This operator returns The ARN of the endpoint created in Amazon SageMaker - Parameters
- config (dict) – - The configuration necessary to create an endpoint. - If you need to create a SageMaker endpoint based on an existed SageMaker model and an existed SageMaker endpoint config: - config = endpoint_configuration; - If you need to create all of SageMaker model, SageMaker endpoint-config and SageMaker endpoint: - config = { 'Model': model_configuration, 'EndpointConfig': endpoint_config_configuration, 'Endpoint': endpoint_configuration } - For details of the configuration parameter of model_configuration see - SageMaker.Client.create_model()- For details of the configuration parameter of endpoint_config_configuration see - SageMaker.Client.create_endpoint_config()- For details of the configuration parameter of endpoint_configuration see - SageMaker.Client.create_endpoint()
- aws_conn_id (str) – The AWS connection ID to use. 
- wait_for_completion (bool) – Whether the operator should wait until the endpoint creation finishes. 
- check_interval (int) – If wait is set to True, this is the time interval, in seconds, that this operation waits before polling the status of the endpoint creation. 
- max_ingestion_time (int) – If wait is set to True, this operation fails if the endpoint creation doesn’t finish within max_ingestion_time seconds. If you set this parameter to None it never times out. 
- operation (str) – Whether to create an endpoint or update an endpoint. Must be either ‘create or ‘update’.