pipeline_container_def | R Documentation |
Create a definition for executing a pipeline of containers as part of a SageMaker model.
pipeline_container_def(models, instance_type = NULL)
models |
(list[sagemaker.Model]): this will be a list of “sagemaker.Model“ objects in the order the inference should be invoked. |
instance_type |
(str): The EC2 instance type to deploy this Model to. For example, 'ml.p2.xlarge' (default: None). |
list[dict[str, str]]: list of container definition objects usable with with the CreateModel API for inference pipelines if passed via 'Containers' field.
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