Class: Aws::SageMaker::Types::CreateAlgorithmInput

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::CreateAlgorithmInput

Includes:

Aws::Structure

Defined in:

lib/aws-sdk-sagemaker/types.rb

Overview

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #algorithm_description ⇒ String

  A description of the algorithm.

• #algorithm_name ⇒ String

  The name of the algorithm.

• #certify_for_marketplace ⇒ Boolean

  Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.

• #inference_specification ⇒ Types::InferenceSpecification

  Specifies details about inference jobs that the algorithm runs, including the following:.

• #tags ⇒ Array<Types::Tag>

  An array of key-value pairs.

• #training_specification ⇒ Types::TrainingSpecification

  Specifies details about training jobs run by this algorithm, including the following:.

• #validation_specification ⇒ Types::AlgorithmValidationSpecification

  Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm’s training code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm’s inference code.

Instance Attribute Details

#algorithm_description ⇒ String

A description of the algorithm.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 5317

class CreateAlgorithmInput < Struct.new(
  :algorithm_name,
  :algorithm_description,
  :training_specification,
  :inference_specification,
  :validation_specification,
  :certify_for_marketplace,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#algorithm_name ⇒ String

The name of the algorithm.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 5317

class CreateAlgorithmInput < Struct.new(
  :algorithm_name,
  :algorithm_description,
  :training_specification,
  :inference_specification,
  :validation_specification,
  :certify_for_marketplace,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#certify_for_marketplace ⇒ Boolean

Whether to certify the algorithm so that it can be listed in Amazon Web Services Marketplace.

Returns:

• (Boolean)

# File 'lib/aws-sdk-sagemaker/types.rb', line 5317

class CreateAlgorithmInput < Struct.new(
  :algorithm_name,
  :algorithm_description,
  :training_specification,
  :inference_specification,
  :validation_specification,
  :certify_for_marketplace,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#inference_specification ⇒ Types::InferenceSpecification

Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the algorithm supports for inference.

Returns:

• (Types::InferenceSpecification)

# File 'lib/aws-sdk-sagemaker/types.rb', line 5317

class CreateAlgorithmInput < Struct.new(
  :algorithm_name,
  :algorithm_description,
  :training_specification,
  :inference_specification,
  :validation_specification,
  :certify_for_marketplace,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#tags ⇒ Array<Types::Tag>

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see [Tagging Amazon Web Services Resources].

[1]: docs.aws.amazon.com/general/latest/gr/aws_tagging.html

Returns:

• (Array<Types::Tag>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 5317

class CreateAlgorithmInput < Struct.new(
  :algorithm_name,
  :algorithm_description,
  :training_specification,
  :inference_specification,
  :validation_specification,
  :certify_for_marketplace,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#training_specification ⇒ Types::TrainingSpecification

Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.

• The hyperparameters that the algorithm supports.

• The instance types that the algorithm supports for training.

• Whether the algorithm supports distributed training.

• The metrics that the algorithm emits to Amazon CloudWatch.

• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.

• The input channels that the algorithm supports for training data. For example, an algorithm might support ‘train`, `validation`, and `test` channels.

Returns:

• (Types::TrainingSpecification)

# File 'lib/aws-sdk-sagemaker/types.rb', line 5317

class CreateAlgorithmInput < Struct.new(
  :algorithm_name,
  :algorithm_description,
  :training_specification,
  :inference_specification,
  :validation_specification,
  :certify_for_marketplace,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#validation_specification ⇒ Types::AlgorithmValidationSpecification

Specifies configurations for one or more training jobs and that SageMaker runs to test the algorithm’s training code and, optionally, one or more batch transform jobs that SageMaker runs to test the algorithm’s inference code.

Returns:

• (Types::AlgorithmValidationSpecification)

# File 'lib/aws-sdk-sagemaker/types.rb', line 5317

class CreateAlgorithmInput < Struct.new(
  :algorithm_name,
  :algorithm_description,
  :training_specification,
  :inference_specification,
  :validation_specification,
  :certify_for_marketplace,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end