Class: Aws::Comprehend::Types::StartEntitiesDetectionJobRequest
- Inherits:
-
Struct
- Object
- Struct
- Aws::Comprehend::Types::StartEntitiesDetectionJobRequest
- Includes:
- Structure
- Defined in:
- lib/aws-sdk-comprehend/types.rb
Overview
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#client_request_token ⇒ String
A unique identifier for the request.
-
#data_access_role_arn ⇒ String
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
-
#entity_recognizer_arn ⇒ String
The Amazon Resource Name (ARN) that identifies the specific entity recognizer to be used by the ‘StartEntitiesDetectionJob`.
-
#flywheel_arn ⇒ String
The Amazon Resource Number (ARN) of the flywheel associated with the model to use.
-
#input_data_config ⇒ Types::InputDataConfig
Specifies the format and location of the input data for the job.
-
#job_name ⇒ String
The identifier of the job.
-
#language_code ⇒ String
The language of the input documents.
-
#output_data_config ⇒ Types::OutputDataConfig
Specifies where to send the output files.
-
#tags ⇒ Array<Types::Tag>
Tags to associate with the entities detection job.
-
#volume_kms_key_id ⇒ String
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job.
-
#vpc_config ⇒ Types::VpcConfig
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your entity detection job.
Instance Attribute Details
#client_request_token ⇒ String
A unique identifier for the request. If you don’t set the client request token, Amazon Comprehend generates one.
**A suitable default value is auto-generated.** You should normally not need to pass this option.
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# File 'lib/aws-sdk-comprehend/types.rb', line 7071 class StartEntitiesDetectionJobRequest < Struct.new( :input_data_config, :output_data_config, :data_access_role_arn, :job_name, :entity_recognizer_arn, :language_code, :client_request_token, :volume_kms_key_id, :vpc_config, :tags, :flywheel_arn) SENSITIVE = [] include Aws::Structure end |
#data_access_role_arn ⇒ String
The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data. For more information, see [Role-based permissions].
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# File 'lib/aws-sdk-comprehend/types.rb', line 7071 class StartEntitiesDetectionJobRequest < Struct.new( :input_data_config, :output_data_config, :data_access_role_arn, :job_name, :entity_recognizer_arn, :language_code, :client_request_token, :volume_kms_key_id, :vpc_config, :tags, :flywheel_arn) SENSITIVE = [] include Aws::Structure end |
#entity_recognizer_arn ⇒ String
The Amazon Resource Name (ARN) that identifies the specific entity recognizer to be used by the ‘StartEntitiesDetectionJob`. This ARN is optional and is only used for a custom entity recognition job.
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# File 'lib/aws-sdk-comprehend/types.rb', line 7071 class StartEntitiesDetectionJobRequest < Struct.new( :input_data_config, :output_data_config, :data_access_role_arn, :job_name, :entity_recognizer_arn, :language_code, :client_request_token, :volume_kms_key_id, :vpc_config, :tags, :flywheel_arn) SENSITIVE = [] include Aws::Structure end |
#flywheel_arn ⇒ String
The Amazon Resource Number (ARN) of the flywheel associated with the model to use.
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# File 'lib/aws-sdk-comprehend/types.rb', line 7071 class StartEntitiesDetectionJobRequest < Struct.new( :input_data_config, :output_data_config, :data_access_role_arn, :job_name, :entity_recognizer_arn, :language_code, :client_request_token, :volume_kms_key_id, :vpc_config, :tags, :flywheel_arn) SENSITIVE = [] include Aws::Structure end |
#input_data_config ⇒ Types::InputDataConfig
Specifies the format and location of the input data for the job.
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# File 'lib/aws-sdk-comprehend/types.rb', line 7071 class StartEntitiesDetectionJobRequest < Struct.new( :input_data_config, :output_data_config, :data_access_role_arn, :job_name, :entity_recognizer_arn, :language_code, :client_request_token, :volume_kms_key_id, :vpc_config, :tags, :flywheel_arn) SENSITIVE = [] include Aws::Structure end |
#job_name ⇒ String
The identifier of the job.
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# File 'lib/aws-sdk-comprehend/types.rb', line 7071 class StartEntitiesDetectionJobRequest < Struct.new( :input_data_config, :output_data_config, :data_access_role_arn, :job_name, :entity_recognizer_arn, :language_code, :client_request_token, :volume_kms_key_id, :vpc_config, :tags, :flywheel_arn) SENSITIVE = [] include Aws::Structure end |
#language_code ⇒ String
The language of the input documents. All documents must be in the same language. You can specify any of the languages supported by Amazon Comprehend. If custom entities recognition is used, this parameter is ignored and the language used for training the model is used instead.
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# File 'lib/aws-sdk-comprehend/types.rb', line 7071 class StartEntitiesDetectionJobRequest < Struct.new( :input_data_config, :output_data_config, :data_access_role_arn, :job_name, :entity_recognizer_arn, :language_code, :client_request_token, :volume_kms_key_id, :vpc_config, :tags, :flywheel_arn) SENSITIVE = [] include Aws::Structure end |
#output_data_config ⇒ Types::OutputDataConfig
Specifies where to send the output files.
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# File 'lib/aws-sdk-comprehend/types.rb', line 7071 class StartEntitiesDetectionJobRequest < Struct.new( :input_data_config, :output_data_config, :data_access_role_arn, :job_name, :entity_recognizer_arn, :language_code, :client_request_token, :volume_kms_key_id, :vpc_config, :tags, :flywheel_arn) SENSITIVE = [] include Aws::Structure end |
#tags ⇒ Array<Types::Tag>
Tags to associate with the entities detection job. A tag is a key-value pair that adds metadata to a resource used by Amazon Comprehend. For example, a tag with “Sales” as the key might be added to a resource to indicate its use by the sales department.
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# File 'lib/aws-sdk-comprehend/types.rb', line 7071 class StartEntitiesDetectionJobRequest < Struct.new( :input_data_config, :output_data_config, :data_access_role_arn, :job_name, :entity_recognizer_arn, :language_code, :client_request_token, :volume_kms_key_id, :vpc_config, :tags, :flywheel_arn) SENSITIVE = [] include Aws::Structure end |
#volume_kms_key_id ⇒ String
ID for the Amazon Web Services Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:
-
KMS Key ID: ‘“1234abcd-12ab-34cd-56ef-1234567890ab”`
-
Amazon Resource Name (ARN) of a KMS Key: ‘“arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab”`
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# File 'lib/aws-sdk-comprehend/types.rb', line 7071 class StartEntitiesDetectionJobRequest < Struct.new( :input_data_config, :output_data_config, :data_access_role_arn, :job_name, :entity_recognizer_arn, :language_code, :client_request_token, :volume_kms_key_id, :vpc_config, :tags, :flywheel_arn) SENSITIVE = [] include Aws::Structure end |
#vpc_config ⇒ Types::VpcConfig
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your entity detection job. For more information, see [Amazon VPC].
[1]: docs.aws.amazon.com/vpc/latest/userguide/what-is-amazon-vpc.html
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# File 'lib/aws-sdk-comprehend/types.rb', line 7071 class StartEntitiesDetectionJobRequest < Struct.new( :input_data_config, :output_data_config, :data_access_role_arn, :job_name, :entity_recognizer_arn, :language_code, :client_request_token, :volume_kms_key_id, :vpc_config, :tags, :flywheel_arn) SENSITIVE = [] include Aws::Structure end |