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

Inherits:
Struct
  • Object
show all
Includes:
Structure
Defined in:
lib/aws-sdk-cleanroomsml/types.rb

Overview

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#configured_model_algorithm_association_arnString

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

Returns:

  • (String)


4742
4743
4744
4745
4746
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
# File 'lib/aws-sdk-cleanroomsml/types.rb', line 4742

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :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_parametersTypes::InferenceContainerExecutionParameters

The execution parameters for the container.



4742
4743
4744
4745
4746
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
# File 'lib/aws-sdk-cleanroomsml/types.rb', line 4742

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :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_sourceTypes::ModelInferenceDataSource

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



4742
4743
4744
4745
4746
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
# File 'lib/aws-sdk-cleanroomsml/types.rb', line 4742

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :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

#descriptionString

The description of the trained model inference job.

Returns:

  • (String)


4742
4743
4744
4745
4746
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
# File 'lib/aws-sdk-cleanroomsml/types.rb', line 4742

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :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

#environmentHash<String,String>

The environment variables to set in the Docker container.

Returns:

  • (Hash<String,String>)


4742
4743
4744
4745
4746
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
# File 'lib/aws-sdk-cleanroomsml/types.rb', line 4742

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :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_arnString

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)


4742
4743
4744
4745
4746
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
# File 'lib/aws-sdk-cleanroomsml/types.rb', line 4742

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :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_identifierString

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

Returns:

  • (String)


4742
4743
4744
4745
4746
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
# File 'lib/aws-sdk-cleanroomsml/types.rb', line 4742

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :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

#nameString

The name of the trained model inference job.

Returns:

  • (String)


4742
4743
4744
4745
4746
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
# File 'lib/aws-sdk-cleanroomsml/types.rb', line 4742

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :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_configurationTypes::InferenceOutputConfiguration

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



4742
4743
4744
4745
4746
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
# File 'lib/aws-sdk-cleanroomsml/types.rb', line 4742

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :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_configTypes::InferenceResourceConfig

Defines the resource configuration for the trained model inference job.



4742
4743
4744
4745
4746
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
# File 'lib/aws-sdk-cleanroomsml/types.rb', line 4742

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :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

#tagsHash<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>)


4742
4743
4744
4745
4746
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
# File 'lib/aws-sdk-cleanroomsml/types.rb', line 4742

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :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_arnString

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

Returns:

  • (String)


4742
4743
4744
4745
4746
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
# File 'lib/aws-sdk-cleanroomsml/types.rb', line 4742

class StartTrainedModelInferenceJobRequest < Struct.new(
  :membership_identifier,
  :name,
  :trained_model_arn,
  :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