comprehend_start_pii_entities_detection_job: Starts an asynchronous PII entity detection job for a...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Starts an asynchronous PII entity detection job for a collection of documents

Description

Starts an asynchronous PII entity detection job for a collection of documents.

See https://www.paws-r-sdk.com/docs/comprehend_start_pii_entities_detection_job/ for full documentation.

Usage

comprehend_start_pii_entities_detection_job(
  InputDataConfig,
  OutputDataConfig,
  Mode,
  RedactionConfig = NULL,
  DataAccessRoleArn,
  JobName = NULL,
  LanguageCode,
  ClientRequestToken = NULL,
  Tags = NULL
)

Arguments

InputDataConfig	[required] The input properties for a PII entities detection job.
OutputDataConfig	[required] Provides configuration parameters for the output of PII entity detection jobs.
Mode	[required] Specifies whether the output provides the locations (offsets) of PII entities or a file in which PII entities are redacted.
RedactionConfig	Provides configuration parameters for PII entity redaction. This parameter is required if you set the Mode parameter to ONLY_REDACTION. In that case, you must provide a RedactionConfig definition that includes the PiiEntityTypes parameter.
DataAccessRoleArn	[required] The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.
JobName	The identifier of the job.
LanguageCode	[required] The language of the input documents. Enter the language code for English (en) or Spanish (es).
ClientRequestToken	A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
Tags	Tags to associate with the PII 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.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.