Class: Aws::SageMaker::Types::ServerlessJobConfig

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::ServerlessJobConfig

Includes:

Aws::Structure

Defined in:

lib/aws-sdk-sagemaker/types.rb

Overview

The configuration for the serverless training job.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #accept_eula ⇒ Boolean

  Specifies agreement to the model end-user license agreement (EULA).

• #base_model_arn ⇒ String

  The base model Amazon Resource Name (ARN) in [SageMaker Public Hub].

• #customization_technique ⇒ String

  The model customization technique.

• #evaluation_type ⇒ String

  The evaluation job type.

• #evaluator_arn ⇒ String

  The evaluator Amazon Resource Name (ARN) used as reward function or reward prompt.

• #job_type ⇒ String

  The serverless training job type.

• #peft ⇒ String

  The parameter-efficient fine-tuning configuration.

Instance Attribute Details

#accept_eula ⇒ Boolean

Specifies agreement to the model end-user license agreement (EULA). The ‘AcceptEula` value must be explicitly defined as `True` in order to accept the EULA that this model requires. You are responsible for reviewing and complying with any applicable license terms and making sure they are acceptable for your use case before downloading or using a model. For more information, see [End-user license agreements] section for more details on accepting the EULA.

[1]: docs.aws.amazon.com/sagemaker/latest/dg/jumpstart-foundation-models-choose.html#jumpstart-foundation-models-choose-eula

Returns:

• (Boolean)

# File 'lib/aws-sdk-sagemaker/types.rb', line 49560

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn)
  SENSITIVE = []
  include Aws::Structure
end

#base_model_arn ⇒ String

The base model Amazon Resource Name (ARN) in [SageMaker Public Hub]. SageMaker always selects the latest version of the provided model.

[1]: docs.aws.amazon.com/sagemaker/latest/dg/jumpstart-foundation-models-use.html

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 49560

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn)
  SENSITIVE = []
  include Aws::Structure
end

#customization_technique ⇒ String

The model customization technique.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 49560

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn)
  SENSITIVE = []
  include Aws::Structure
end

#evaluation_type ⇒ String

The evaluation job type. Required when serverless job type is ‘Evaluation`.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 49560

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn)
  SENSITIVE = []
  include Aws::Structure
end

#evaluator_arn ⇒ String

The evaluator Amazon Resource Name (ARN) used as reward function or reward prompt.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 49560

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn)
  SENSITIVE = []
  include Aws::Structure
end

#job_type ⇒ String

The serverless training job type.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 49560

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn)
  SENSITIVE = []
  include Aws::Structure
end

#peft ⇒ String

The parameter-efficient fine-tuning configuration.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 49560

class ServerlessJobConfig < Struct.new(
  :base_model_arn,
  :accept_eula,
  :job_type,
  :customization_technique,
  :peft,
  :evaluation_type,
  :evaluator_arn)
  SENSITIVE = []
  include Aws::Structure
end