Builder

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

The Amazon Resource Name (ARN) of the IAM role that grants Amazon Comprehend read access to your input data.

The name of the document classifier.

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

The language of the input documents. You can specify any of the languages supported by Amazon Comprehend. All documents must be in the same language.

Indicates the mode in which the classifier will be trained. The classifier can be trained in multi-class (single-label) mode or multi-label mode. Multi-class mode identifies a single class label for each document and multi-label mode identifies one or more class labels for each document. Multiple labels for an individual document are separated by a delimiter. The default delimiter between labels is a pipe (|).

ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:

The resource-based policy to attach to your custom document classifier model. You can use this policy to allow another Amazon Web Services account to import your custom model.

Specifies the location for the output files from a custom classifier job. This parameter is required for a request that creates a native document model.

Tags to associate with the document classifier. A tag is a key-value pair that adds as a 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.

The version name given to the newly created classifier. Version names can have a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same classifier name in the Amazon Web Services account/Amazon Web Services Region.

ID for the Amazon Web Services 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:

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

construct an aws.sdk.kotlin.services.comprehend.model.DocumentClassifierInputDataConfig inside the given block

construct an aws.sdk.kotlin.services.comprehend.model.DocumentClassifierOutputDataConfig inside the given block

construct an aws.sdk.kotlin.services.comprehend.model.VpcConfig inside the given block