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paws.machine.learning

comprehend_start_topics_detection_job

Starts an asynchronous topic detection job

Description

Starts an asynchronous topic detection job. Use the DescribeTopicDetectionJob operation to track the status of a job.

Usage

comprehend_start_topics_detection_job(InputDataConfig, OutputDataConfig,
  DataAccessRoleArn, JobName, NumberOfTopics, ClientRequestToken,
  VolumeKmsKeyId, VpcConfig)

Arguments

InputDataConfig

[required] Specifies the format and location of the input data for the job.
OutputDataConfig

[required] 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
DataAccessRoleArn

[required] The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend read access to your input data. For more information, see https://docs.aws.amazon.com/comprehend/latest/dg/access-control-managing-permissions.html#auth-role-permissions.
JobName

The identifier of the job.
NumberOfTopics

The number of topics to detect.
ClientRequestToken

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

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"

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.

Value

A list with the following syntax:

list(
  JobId = "string",
  JobStatus = "SUBMITTED"|"IN_PROGRESS"|"COMPLETED"|"FAILED"|"STOP_REQUESTED"|"STOPPED"
)

Request syntax

svc$start_topics_detection_job(
  InputDataConfig = list(
    S3Uri = "string",
    InputFormat = "ONE_DOC_PER_FILE"|"ONE_DOC_PER_LINE"
  ),
  OutputDataConfig = list(
    S3Uri = "string",
    KmsKeyId = "string"
  ),
  DataAccessRoleArn = "string",
  JobName = "string",
  NumberOfTopics = 123,
  ClientRequestToken = "string",
  VolumeKmsKeyId = "string",
  VpcConfig = list(
    SecurityGroupIds = list(
      "string"
    ),
    Subnets = list(
      "string"
    )
  )
)
paws.machine.learning

Amazon Web Services Machine Learning Services

v0.1.11
Apache License (>= 2.0)
Authors
David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Initial release

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