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Showing content from https://docs.aws.amazon.com/sdkforruby/api/Aws/Comprehend/Types/StartTopicsDetectionJobRequest.html below:

StartTopicsDetectionJobRequest — AWS SDK for Ruby V2

You are viewing documentation for version 2 of the AWS SDK for Ruby. Version 3 documentation can be found here.

Class: Aws::Comprehend::Types::StartTopicsDetectionJobRequest

Inherits:

Struct

Object
Struct
Aws::Comprehend::Types::StartTopicsDetectionJobRequest

show all

Defined in:: (unknown)

Overview Note:

When passing StartTopicsDetectionJobRequest as input to an Aws::Client method, you can use a vanilla Hash:

{
  input_data_config: {     s3_uri: "S3Uri",     input_format: "ONE_DOC_PER_FILE",   },
  output_data_config: {     s3_uri: "S3Uri",     kms_key_id: "KmsKeyId",
  },
  data_access_role_arn: "IamRoleArn",   job_name: "JobName",
  number_of_topics: 1,
  client_request_token: "ClientRequestTokenString",
  volume_kms_key_id: "KmsKeyId",
  vpc_config: {
    security_group_ids: ["SecurityGroupId"],     subnets: ["SubnetId"],   },
}

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 AWS Identity and Access Management (IAM) role that grants Amazon Comprehend read access to your input data.
#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.
#number_of_topics ⇒ Integer The number of topics to detect.
#output_data_config ⇒ Types::OutputDataConfig Specifies where to send the output files.
#volume_kms_key_id ⇒ String ID for the AWS 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 topic detection job.

Instance Attribute Details #client_request_token ⇒ String

A unique identifier for the request. If you do not set the client request token, Amazon Comprehend generates one.

#data_access_role_arn ⇒ String #job_name ⇒ String

The identifier of the job.

#number_of_topics ⇒ Integer

The number of topics to detect.

#output_data_config ⇒ Types::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

#volume_kms_key_id ⇒ String

ID for the AWS 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 ⇒ Types::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.

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