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[ aws . comprehend ]

start-document-classification-job

Description

Starts an asynchronous document classification job. Use the operation to track the progress of the job.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  start-document-classification-job
[--job-name <value>]
--document-classifier-arn <value>
--input-data-config <value>
--output-data-config <value>
--data-access-role-arn <value>
[--client-request-token <value>]
[--volume-kms-key-id <value>]
[--vpc-config <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--job-name (string)

The identifier of the job.

--document-classifier-arn (string)

The Amazon Resource Name (ARN) of the document classifier to use to process the job.

--input-data-config (structure)

Specifies the format and location of the input data for the job.

S3Uri -> (string)

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix , if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

InputFormat -> (string)

Specifies how the text in an input file should be processed:

  • ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.
  • ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

Shorthand Syntax:

S3Uri=string,InputFormat=string

JSON Syntax:

{
  "S3Uri": "string",
  "InputFormat": "ONE_DOC_PER_FILE"|"ONE_DOC_PER_LINE"
}

--output-data-config (structure)

Specifies where to send the output files.

S3Uri -> (string)

When you use the OutputDataConfig object with asynchronous operations, you specify the Amazon S3 location where you want to write the output data. The URI must be in the same region as the API endpoint that you are calling. The location is used as the prefix for the actual location of the output file.

When the topic detection job is finished, the service creates an output file in a directory specific to the job. The S3Uri field contains the location of the output file, called output.tar.gz . It is a compressed archive that contains the ouput of the operation.

KmsKeyId -> (string)

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt the output results from an analysis job. The KmsKeyId can be one 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"
  • KMS Key Alias: "alias/ExampleAlias"
  • ARN of a KMS Key Alias: "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"

Shorthand Syntax:

S3Uri=string,KmsKeyId=string

JSON Syntax:

{
  "S3Uri": "string",
  "KmsKeyId": "string"
}

--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.

--client-request-token (string)

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

--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 (structure)

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your document classification job. For more information, see Amazon VPC .

SecurityGroupIds -> (list)

The ID number for a security group on an instance of your private VPC. Security groups on your VPC function serve as a virtual firewall to control inbound and outbound traffic and provides security for the resources that you’ll be accessing on the VPC. This ID number is preceded by "sg-", for instance: "sg-03b388029b0a285ea". For more information, see Security Groups for your VPC .

(string)

Subnets -> (list)

The ID for each subnet being used in your private VPC. This subnet is a subset of the a range of IPv4 addresses used by the VPC and is specific to a given availability zone in the VPC’s region. This ID number is preceded by "subnet-", for instance: "subnet-04ccf456919e69055". For more information, see VPCs and Subnets .

(string)

Shorthand Syntax:

SecurityGroupIds=string,string,Subnets=string,string

JSON Syntax:

{
  "SecurityGroupIds": ["string", ...],
  "Subnets": ["string", ...]
}

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Output

JobId -> (string)

The identifier generated for the job. To get the status of the job, use this identifier with the operation.

JobStatus -> (string)

The status of the job:

  • SUBMITTED - The job has been received and queued for processing.
  • IN_PROGRESS - Amazon Comprehend is processing the job.
  • COMPLETED - The job was successfully completed and the output is available.
  • FAILED - The job did not complete. For details, use the operation.
  • STOP_REQUESTED - Amazon Comprehend has received a stop request for the job and is processing the request.
  • STOPPED - The job was successfully stopped without completing.