A flywheel is an Amazon Web Services resource that orchestrates the ongoing training of a model for custom classification or custom entity recognition. You can create a flywheel to start with an existing trained model, or Comprehend can create and train a new model.
See https://www.paws-r-sdk.com/docs/comprehend_create_flywheel/ for full documentation.
comprehend_create_flywheel(
FlywheelName,
ActiveModelArn = NULL,
DataAccessRoleArn,
TaskConfig = NULL,
ModelType = NULL,
DataLakeS3Uri,
DataSecurityConfig = NULL,
ClientRequestToken = NULL,
Tags = NULL
)[required] Name for the flywheel.
To associate an existing model with the flywheel, specify the Amazon
Resource Number (ARN) of the model version. Do not set TaskConfig or
ModelType if you specify an ActiveModelArn.
[required] The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend the permissions required to access the flywheel data in the data lake.
Configuration about the model associated with the flywheel. You need to
set TaskConfig if you are creating a flywheel for a new model.
The model type. You need to set ModelType if you are creating a
flywheel for a new model.
[required] Enter the S3 location for the data lake. You can specify a new S3 bucket or a new folder of an existing S3 bucket. The flywheel creates the data lake at this location.
Data security configurations.
A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.
The tags to associate with this flywheel.