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

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::SourceAlgorithm

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:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #algorithm_name ⇒ String

  The name of an algorithm that was used to create the model package.

• #model_data_etag ⇒ String

  The ETag associated with Model Data URL.

• #model_data_source ⇒ Types::ModelDataSource

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

• #model_data_url ⇒ String

  The Amazon S3 path where the model artifacts, which result from model training, are stored.

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)

# File 'lib/aws-sdk-sagemaker/types.rb', line 43038

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

#model_data_etag ⇒ String

The ETag associated with Model Data URL.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 43038

class SourceAlgorithm < Struct.new(
  :model_data_url,
  :model_data_source,
  :model_data_etag,
  :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:

• (Types::ModelDataSource)

# File 'lib/aws-sdk-sagemaker/types.rb', line 43038

class SourceAlgorithm < Struct.new(
  :model_data_url,
  :model_data_source,
  :model_data_etag,
  :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)

# File 'lib/aws-sdk-sagemaker/types.rb', line 43038

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