Class: Aws::SageMaker::Types::ModelQualityAppSpecification

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::ModelQualityAppSpecification

Includes:

Aws::Structure

Defined in:

lib/aws-sdk-sagemaker/types.rb

Overview

Container image configuration object for the monitoring job.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #container_arguments ⇒ Array<String>

  An array of arguments for the container used to run the monitoring job.

• #container_entrypoint ⇒ Array<String>

  Specifies the entrypoint for a container that the monitoring job runs.

• #environment ⇒ Hash<String,String>

  Sets the environment variables in the container that the monitoring job runs.

• #image_uri ⇒ String

  The address of the container image that the monitoring job runs.

• #post_analytics_processor_source_uri ⇒ String

  An Amazon S3 URI to a script that is called after analysis has been performed.

• #problem_type ⇒ String

  The machine learning problem type of the model that the monitoring job monitors.

• #record_preprocessor_source_uri ⇒ String

  An Amazon S3 URI to a script that is called per row prior to running analysis.

Instance Attribute Details

#container_arguments ⇒ Array<String>

An array of arguments for the container used to run the monitoring job.

Returns:

• (Array<String>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 33640

class ModelQualityAppSpecification < Struct.new(
  :image_uri,
  :container_entrypoint,
  :container_arguments,
  :record_preprocessor_source_uri,
  :post_analytics_processor_source_uri,
  :problem_type,
  :environment)
  SENSITIVE = []
  include Aws::Structure
end

#container_entrypoint ⇒ Array<String>

Specifies the entrypoint for a container that the monitoring job runs.

Returns:

• (Array<String>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 33640

class ModelQualityAppSpecification < Struct.new(
  :image_uri,
  :container_entrypoint,
  :container_arguments,
  :record_preprocessor_source_uri,
  :post_analytics_processor_source_uri,
  :problem_type,
  :environment)
  SENSITIVE = []
  include Aws::Structure
end

#environment ⇒ Hash<String,String>

Sets the environment variables in the container that the monitoring job runs.

Returns:

• (Hash<String,String>)

# File 'lib/aws-sdk-sagemaker/types.rb', line 33640

class ModelQualityAppSpecification < Struct.new(
  :image_uri,
  :container_entrypoint,
  :container_arguments,
  :record_preprocessor_source_uri,
  :post_analytics_processor_source_uri,
  :problem_type,
  :environment)
  SENSITIVE = []
  include Aws::Structure
end

#image_uri ⇒ String

The address of the container image that the monitoring job runs.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 33640

class ModelQualityAppSpecification < Struct.new(
  :image_uri,
  :container_entrypoint,
  :container_arguments,
  :record_preprocessor_source_uri,
  :post_analytics_processor_source_uri,
  :problem_type,
  :environment)
  SENSITIVE = []
  include Aws::Structure
end

#post_analytics_processor_source_uri ⇒ String

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 33640

class ModelQualityAppSpecification < Struct.new(
  :image_uri,
  :container_entrypoint,
  :container_arguments,
  :record_preprocessor_source_uri,
  :post_analytics_processor_source_uri,
  :problem_type,
  :environment)
  SENSITIVE = []
  include Aws::Structure
end

#problem_type ⇒ String

The machine learning problem type of the model that the monitoring job monitors.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 33640

class ModelQualityAppSpecification < Struct.new(
  :image_uri,
  :container_entrypoint,
  :container_arguments,
  :record_preprocessor_source_uri,
  :post_analytics_processor_source_uri,
  :problem_type,
  :environment)
  SENSITIVE = []
  include Aws::Structure
end

#record_preprocessor_source_uri ⇒ String

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flattened JSON so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

Returns:

• (String)

# File 'lib/aws-sdk-sagemaker/types.rb', line 33640

class ModelQualityAppSpecification < Struct.new(
  :image_uri,
  :container_entrypoint,
  :container_arguments,
  :record_preprocessor_source_uri,
  :post_analytics_processor_source_uri,
  :problem_type,
  :environment)
  SENSITIVE = []
  include Aws::Structure
end