textract_start_lending_analysis: Starts the classification and analysis of an input document
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

textract_start_lending_analysis

R Documentation

Starts the classification and analysis of an input document

Description

Starts the classification and analysis of an input document. start_lending_analysis initiates the classification and analysis of a packet of lending documents. start_lending_analysis operates on a document file located in an Amazon S3 bucket.

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

Usage

textract_start_lending_analysis(
  DocumentLocation,
  ClientRequestToken = NULL,
  JobTag = NULL,
  NotificationChannel = NULL,
  OutputConfig = NULL,
  KMSKeyId = NULL
)

Arguments

`DocumentLocation`	[required]
`ClientRequestToken`	The idempotent token that you use to identify the start request. If you use the same token with multiple `start_lending_analysis` requests, the same `JobId` is returned. Use `ClientRequestToken` to prevent the same job from being accidentally started more than once. For more information, see Calling Amazon Textract Asynchronous Operations.
`JobTag`	An identifier that you specify to be included in the completion notification published to the Amazon SNS topic. For example, you can use `JobTag` to identify the type of document that the completion notification corresponds to (such as a tax form or a receipt).
`NotificationChannel`
`OutputConfig`
`KMSKeyId`	The KMS key used to encrypt the inference results. This can be in either Key ID or Key Alias format. When a KMS key is provided, the KMS key will be used for server-side encryption of the objects in the customer bucket. When this parameter is not enabled, the result will be encrypted server side, using SSE-S3.