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AWS::SageMaker::ModelPackage InferenceSpecification
Defines how to perform inference generation after a training job is run.
Syntax
To declare this entity in your Amazon CloudFormation template, use the following syntax:
JSON
{ "Containers" :[ ModelPackageContainerDefinition, ... ], "SupportedContentTypes" :[ String, ... ], "SupportedRealtimeInferenceInstanceTypes" :[ String, ... ], "SupportedResponseMIMETypes" :[ String, ... ], "SupportedTransformInstanceTypes" :[ String, ... ]}
YAML
Containers:- ModelPackageContainerDefinitionSupportedContentTypes:- StringSupportedRealtimeInferenceInstanceTypes:- StringSupportedResponseMIMETypes:- StringSupportedTransformInstanceTypes:- String
Properties
Containers-
The Amazon ECR registry path of the Docker image that contains the inference code.
Required: Yes
Type: Array of ModelPackageContainerDefinition
Minimum:
1Maximum:
15Update requires: Replacement
SupportedContentTypes-
The supported MIME types for the input data.
Required: Yes
Type: Array of String
Update requires: Replacement
SupportedRealtimeInferenceInstanceTypes-
A list of the instance types that are used to generate inferences in real-time.
This parameter is required for unversioned models, and optional for versioned models.
Required: No
Type: Array of String
Update requires: Replacement
SupportedResponseMIMETypes-
The supported MIME types for the output data.
Required: Yes
Type: Array of String
Update requires: Replacement
SupportedTransformInstanceTypes-
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
This parameter is required for unversioned models, and optional for versioned models.
Required: No
Type: Array of String
Minimum:
1Update requires: Replacement