Class: Aws::CleanRoomsML::Types::StartTrainedModelInferenceJobRequest
- Inherits:
-
Struct
- Object
- Struct
- Aws::CleanRoomsML::Types::StartTrainedModelInferenceJobRequest
- Includes:
- Structure
- Defined in:
- lib/aws-sdk-cleanroomsml/types.rb
Overview
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#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.
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#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.
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#environment ⇒ Hash<String,String>
The environment variables to set in the Docker container.
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#kms_key_arn ⇒ String
The Amazon Resource Name (ARN) of the KMS key.
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#membership_identifier ⇒ String
The membership ID of the membership that contains the trained model inference job.
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#name ⇒ String
The name of the trained model inference job.
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#output_configuration ⇒ Types::InferenceOutputConfiguration
Defines the output configuration information for the trained model inference job.
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#resource_config ⇒ Types::InferenceResourceConfig
Defines the resource configuration for the trained model inference job.
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#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.
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.
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# 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_parameters ⇒ Types::InferenceContainerExecutionParameters
The execution parameters for the container.
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# 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_source ⇒ Types::ModelInferenceDataSource
Defines the data source that is used for the trained model inference job.
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# 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 |
#description ⇒ String
The description of the trained model inference job.
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# 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 |
#environment ⇒ Hash<String,String>
The environment variables to set in the Docker container.
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# 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_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.
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# 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_identifier ⇒ String
The membership ID of the membership that contains the trained model inference job.
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# 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 |
#name ⇒ String
The name of the trained model inference job.
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# 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_configuration ⇒ Types::InferenceOutputConfiguration
Defines the output configuration information for the trained model inference job.
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# 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_config ⇒ Types::InferenceResourceConfig
Defines the resource configuration for the trained model inference job.
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# 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 |
#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.
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For each resource, each tag key must be unique, and each tag key can have only one value.
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Maximum key length - 128 Unicode characters in UTF-8.
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Maximum value length - 256 Unicode characters in UTF-8.
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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.
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# 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_arn ⇒ String
The Amazon Resource Name (ARN) of the trained model that is used for this trained model inference job.
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# 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 |