Class: Aws::CleanRoomsML::Types::StartTrainedModelInferenceJobRequest

Inherits:

Struct

• Object
• Struct
• Aws::CleanRoomsML::Types::StartTrainedModelInferenceJobRequest

Defined in:

gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb

Overview

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #configured_model_algorithm_association_arn ⇒ String

  The Amazon Resource Name (ARN) of the configured model algorithm association that is used for this trained model inference job.

• #container_execution_parameters ⇒ Types::InferenceContainerExecutionParameters

  The execution parameters for the container.

• #data_source ⇒ Types::ModelInferenceDataSource

  Defines the data source that is used for the trained model inference job.

• #description ⇒ String

  The description of the trained model inference job.

• #environment ⇒ Hash<String,String>

  The environment variables to set in the Docker container.

• #kms_key_arn ⇒ String

  The Amazon Resource Name (ARN) of the KMS key.

• #membership_identifier ⇒ String

  The membership ID of the membership that contains the trained model inference job.

• #name ⇒ String

  The name of the trained model inference job.

• #output_configuration ⇒ Types::InferenceOutputConfiguration

  Defines the output configuration information for the trained model inference job.

• #resource_config ⇒ Types::InferenceResourceConfig

  Defines the resource configuration for the trained model inference job.

• #tags ⇒ Hash<String,String>

  The optional metadata that you apply to the resource to help you categorize and organize them.

• #trained_model_arn ⇒ String

  The Amazon Resource Name (ARN) of the trained model that is used for this trained model inference job.

• #trained_model_version_identifier ⇒ String

  The version identifier of the trained model to use for inference.

Instance Attribute Details

#configured_model_algorithm_association_arn ⇒ String

The Amazon Resource Name (ARN) of the configured model algorithm association that is used for this trained model inference job.

Returns:

• (String)

# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 5098

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :trained_model_version_identifier,
  :configured_model_algorithm_association_arn,
  :resource_config,
  :output_configuration,
  :data_source,
  :description,
  :container_execution_parameters,
  :environment,
  :kms_key_arn,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#container_execution_parameters ⇒ Types::InferenceContainerExecutionParameters

The execution parameters for the container.

Returns:

• (Types::InferenceContainerExecutionParameters)

# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 5098

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :trained_model_version_identifier,
  :configured_model_algorithm_association_arn,
  :resource_config,
  :output_configuration,
  :data_source,
  :description,
  :container_execution_parameters,
  :environment,
  :kms_key_arn,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#data_source ⇒ Types::ModelInferenceDataSource

Defines the data source that is used for the trained model inference job.

Returns:

• (Types::ModelInferenceDataSource)

# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 5098

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :trained_model_version_identifier,
  :configured_model_algorithm_association_arn,
  :resource_config,
  :output_configuration,
  :data_source,
  :description,
  :container_execution_parameters,
  :environment,
  :kms_key_arn,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#description ⇒ String

The description of the trained model inference job.

Returns:

• (String)

# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 5098

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :trained_model_version_identifier,
  :configured_model_algorithm_association_arn,
  :resource_config,
  :output_configuration,
  :data_source,
  :description,
  :container_execution_parameters,
  :environment,
  :kms_key_arn,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#environment ⇒ Hash<String,String>

The environment variables to set in the Docker container.

Returns:

• (Hash<String,String>)

# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 5098

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :trained_model_version_identifier,
  :configured_model_algorithm_association_arn,
  :resource_config,
  :output_configuration,
  :data_source,
  :description,
  :container_execution_parameters,
  :environment,
  :kms_key_arn,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#kms_key_arn ⇒ String

The Amazon Resource Name (ARN) of the KMS key. This key is used to encrypt and decrypt customer-owned data in the ML inference job and associated data.

Returns:

• (String)

# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 5098

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :trained_model_version_identifier,
  :configured_model_algorithm_association_arn,
  :resource_config,
  :output_configuration,
  :data_source,
  :description,
  :container_execution_parameters,
  :environment,
  :kms_key_arn,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#membership_identifier ⇒ String

The membership ID of the membership that contains the trained model inference job.

Returns:

• (String)

# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 5098

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :trained_model_version_identifier,
  :configured_model_algorithm_association_arn,
  :resource_config,
  :output_configuration,
  :data_source,
  :description,
  :container_execution_parameters,
  :environment,
  :kms_key_arn,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#name ⇒ String

The name of the trained model inference job.

Returns:

• (String)

# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 5098

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :trained_model_version_identifier,
  :configured_model_algorithm_association_arn,
  :resource_config,
  :output_configuration,
  :data_source,
  :description,
  :container_execution_parameters,
  :environment,
  :kms_key_arn,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#output_configuration ⇒ Types::InferenceOutputConfiguration

Defines the output configuration information for the trained model inference job.

Returns:

• (Types::InferenceOutputConfiguration)

# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 5098

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :trained_model_version_identifier,
  :configured_model_algorithm_association_arn,
  :resource_config,
  :output_configuration,
  :data_source,
  :description,
  :container_execution_parameters,
  :environment,
  :kms_key_arn,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#resource_config ⇒ Types::InferenceResourceConfig

Defines the resource configuration for the trained model inference job.

Returns:

• (Types::InferenceResourceConfig)

# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 5098

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :trained_model_version_identifier,
  :configured_model_algorithm_association_arn,
  :resource_config,
  :output_configuration,
  :data_source,
  :description,
  :container_execution_parameters,
  :environment,
  :kms_key_arn,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#tags ⇒ Hash<String,String>

The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.

The following basic restrictions apply to tags:

• Maximum number of tags per resource - 50.

• For each resource, each tag key must be unique, and each tag key can have only one value.

• Maximum key length - 128 Unicode characters in UTF-8.

• Maximum value length - 256 Unicode characters in UTF-8.

• If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.

• Tag keys and values are case sensitive.

• Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.

Returns:

• (Hash<String,String>)

# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 5098

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :trained_model_version_identifier,
  :configured_model_algorithm_association_arn,
  :resource_config,
  :output_configuration,
  :data_source,
  :description,
  :container_execution_parameters,
  :environment,
  :kms_key_arn,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#trained_model_arn ⇒ String

The Amazon Resource Name (ARN) of the trained model that is used for this trained model inference job.

Returns:

• (String)

# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 5098

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :trained_model_version_identifier,
  :configured_model_algorithm_association_arn,
  :resource_config,
  :output_configuration,
  :data_source,
  :description,
  :container_execution_parameters,
  :environment,
  :kms_key_arn,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end

#trained_model_version_identifier ⇒ String

The version identifier of the trained model to use for inference. This specifies which version of the trained model should be used to generate predictions on the input data.

Returns:

• (String)

# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 5098

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :trained_model_version_identifier,
  :configured_model_algorithm_association_arn,
  :resource_config,
  :output_configuration,
  :data_source,
  :description,
  :container_execution_parameters,
  :environment,
  :kms_key_arn,
  :tags)
  SENSITIVE = []
  include Aws::Structure
end