CfnDocumentClassifierEndpointMixinProps
- class aws_cdk.cfn_property_mixins.aws_comprehend.CfnDocumentClassifierEndpointMixinProps(*, desired_inference_units=None, endpoint_name=None, model_arn=None, tags=None)
Bases:
objectProperties for CfnDocumentClassifierEndpointPropsMixin.
- Parameters:
desired_inference_units (
Union[int,float,None]) – The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.endpoint_name (
Optional[str]) – The name of the endpoint. The name must be unique within the AWS Region and account.model_arn (
Optional[str]) – The Amazon Resource Name (ARN) of the document classifier model to which the endpoint is attached.tags (
Optional[Sequence[Union[CfnTag,Dict[str,Any]]]]) – Tags associated with the endpoint being created.
- See:
- ExampleMetadata:
fixture=_generated
Example:
from aws_cdk import CfnTag # The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.cfn_property_mixins import aws_comprehend as comprehend cfn_document_classifier_endpoint_mixin_props = comprehend.CfnDocumentClassifierEndpointMixinProps( desired_inference_units=123, endpoint_name="endpointName", model_arn="modelArn", tags=[CfnTag( key="key", value="value" )] )
Attributes
- desired_inference_units
The desired number of inference units to be used by the model.
Each inference unit represents throughput of 100 characters per second.
- endpoint_name
The name of the endpoint.
The name must be unique within the AWS Region and account.
- model_arn
The Amazon Resource Name (ARN) of the document classifier model to which the endpoint is attached.
- tags
Tags associated with the endpoint being created.