Class: Aws::SageMaker::Types::SourceAlgorithm

Inherits:
Struct
  • Object
show all
Includes:
Aws::Structure
Defined in:
lib/aws-sdk-sagemaker/types.rb

Overview

Specifies an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#algorithm_name ⇒ String

The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.

Returns:

  • (String) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 41050

class SourceAlgorithm < Struct.new(
  :model_data_url,
  :model_data_source,
  :algorithm_name)
  SENSITIVE = []
  include Aws::Structure
end

#model_data_source ⇒ Types::ModelDataSource

Specifies the location of ML model data to deploy during endpoint creation.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 41050

class SourceAlgorithm < Struct.new(
  :model_data_url,
  :model_data_source,
  :algorithm_name)
  SENSITIVE = []
  include Aws::Structure
end

#model_data_url ⇒ String

The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single ‘gzip` compressed tar archive (`.tar.gz` suffix).

<note markdown=“1”> The model artifacts must be in an S3 bucket that is in the same Amazon Web Services region as the algorithm.

</note>

Returns:

  • (String) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 41050

class SourceAlgorithm < Struct.new(
  :model_data_url,
  :model_data_source,
  :algorithm_name)
  SENSITIVE = []
  include Aws::Structure
end