StartTopicsDetectionJobRequest
¶
Source code in docs_src/capo_comprehend/types/start_topics_detection_job_request.py
client_request_token
instance-attribute
¶
client_request_token: NotRequired[ClientRequestTokenString]
A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.
data_access_role_arn
instance-attribute
¶
data_access_role_arn: IamRoleArn
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.
input_data_config
instance-attribute
¶
input_data_config: InputDataConfig
Specifies the format and location of the input data for the job.
number_of_topics
instance-attribute
¶
number_of_topics: NotRequired[NumberOfTopicsInteger]
The number of topics to detect.
output_data_config
instance-attribute
¶
output_data_config: OutputDataConfig
Specifies where to send the output files. The output is a compressed archive with two files, topic-terms.csv that lists the terms associated with each topic, and doc-topics.csv that lists the documents associated with each topic
tags
instance-attribute
¶
tags: NotRequired[TagList]
Tags to associate with the topics 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.
volume_kms_key_id
instance-attribute
¶
volume_kms_key_id: NotRequired[KmsKeyId]
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"
vpc_config
instance-attribute
¶
vpc_config: NotRequired[VpcConfig]
Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your topic detection job. For more information, see Amazon VPC.