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AWS::SageMaker::Algorithm
Create a machine learning algorithm that you can use in SageMaker and list in the Amazon Marketplace.
Syntax
To declare this entity in your Amazon CloudFormation template, use the following syntax:
JSON
{ "Type" : "AWS::SageMaker::Algorithm", "Properties" : { "AlgorithmDescription" :String, "AlgorithmName" :String, "CertifyForMarketplace" :Boolean, "InferenceSpecification" :InferenceSpecification, "Tags" :[ Tag, ... ], "TrainingSpecification" :TrainingSpecification} }
YAML
Type: AWS::SageMaker::Algorithm Properties: AlgorithmDescription:StringAlgorithmName:StringCertifyForMarketplace:BooleanInferenceSpecification:InferenceSpecificationTags:- TagTrainingSpecification:TrainingSpecification
Properties
AlgorithmDescription-
A brief description of the algorithm.
Required: No
Type: String
Maximum:
1024Update requires: Replacement
AlgorithmName-
The name of the algorithm that is described by the summary.
Required: Yes
Type: String
Pattern:
^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}$Minimum:
1Maximum:
63Update requires: Replacement
CertifyForMarketplaceProperty description not available.
Required: No
Type: Boolean
Update requires: Replacement
InferenceSpecification-
Defines how to perform inference generation after a training job is run.
Required: No
Type: InferenceSpecification
Update requires: Replacement
Property description not available.
Required: No
Type: Array of Tag
Maximum:
50Update requires: No interruption
TrainingSpecification-
Defines how the algorithm is used for a training job.
Required: Yes
Type: TrainingSpecification
Update requires: Replacement
Return values
Ref
Fn::GetAtt
AlgorithmArn-
The Amazon Resource Name (ARN) of the algorithm.
CreationTime-
A timestamp that shows when the algorithm was created.