AWS::SageMaker::ModelPackage InferenceSpecification

Defines how to perform inference generation after a training job is run.

Syntax

To declare this entity in your AWS CloudFormation template, use the following syntax:

JSON

{
  "Containers" : [ ModelPackageContainerDefinition, ... ],
  "SupportedContentTypes" : [ String, ... ],
  "SupportedRealtimeInferenceInstanceTypes" : [ String, ... ],
  "SupportedResponseMIMETypes" : [ String, ... ],
  "SupportedTransformInstanceTypes" : [ String, ... ]
}

YAML

  Containers: 
    - ModelPackageContainerDefinition
  SupportedContentTypes: 
    - String
  SupportedRealtimeInferenceInstanceTypes: 
    - String
  SupportedResponseMIMETypes: 
    - String
  SupportedTransformInstanceTypes: 
    - String

Properties

Containers

The Amazon ECR registry path of the Docker image that contains the inference code.

Required: Yes

Type: Array of ModelPackageContainerDefinition

Minimum: 1

Maximum: 15

Update 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: 1

Update requires: Replacement