We recommend new projects start with resources from the AWS provider.
Viewing docs for AWS Cloud Control v1.81.0
published on Monday, Sep 28, 2026 by Pulumi
published on Monday, Sep 28, 2026 by Pulumi
We recommend new projects start with resources from the AWS provider.
Viewing docs for AWS Cloud Control v1.81.0
published on Monday, Sep 28, 2026 by Pulumi
published on Monday, Sep 28, 2026 by Pulumi
An Amazon Comprehend endpoint that hosts a custom document classification model for real-time inference.
Using getDocumentClassifierEndpoint
Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.
function getDocumentClassifierEndpoint(args: GetDocumentClassifierEndpointArgs, opts?: InvokeOptions): Promise<GetDocumentClassifierEndpointResult>
function getDocumentClassifierEndpointOutput(args: GetDocumentClassifierEndpointOutputArgs, opts?: InvokeOutputOptions): Output<GetDocumentClassifierEndpointResult>def get_document_classifier_endpoint(arn: Optional[str] = None,
opts: Optional[InvokeOptions] = None) -> GetDocumentClassifierEndpointResult
def get_document_classifier_endpoint_output(arn: pulumi.Input[Optional[str]] = None,
opts: Optional[InvokeOutputOptions] = None) -> Output[GetDocumentClassifierEndpointResult]func LookupDocumentClassifierEndpoint(ctx *Context, args *LookupDocumentClassifierEndpointArgs, opts ...InvokeOption) (*LookupDocumentClassifierEndpointResult, error)
func LookupDocumentClassifierEndpointOutput(ctx *Context, args *LookupDocumentClassifierEndpointOutputArgs, opts ...InvokeOption) LookupDocumentClassifierEndpointResultOutput> Note: This function is named LookupDocumentClassifierEndpoint in the Go SDK.
public static class GetDocumentClassifierEndpoint
{
public static Task<GetDocumentClassifierEndpointResult> InvokeAsync(GetDocumentClassifierEndpointArgs args, InvokeOptions? opts = null)
public static Output<GetDocumentClassifierEndpointResult> Invoke(GetDocumentClassifierEndpointInvokeArgs args, InvokeOptions? opts = null)
public static Output<GetDocumentClassifierEndpointResult> Invoke(GetDocumentClassifierEndpointInvokeArgs args, InvokeOutputOptions opts)
}public static CompletableFuture<GetDocumentClassifierEndpointResult> getDocumentClassifierEndpoint(GetDocumentClassifierEndpointArgs args, InvokeOptions options)
public static Output<GetDocumentClassifierEndpointResult> getDocumentClassifierEndpoint(GetDocumentClassifierEndpointArgs args, InvokeOptions options)
public static Output<GetDocumentClassifierEndpointResult> getDocumentClassifierEndpoint(GetDocumentClassifierEndpointArgs args, InvokeOutputOptions options)
fn::invoke:
function: aws-native:comprehend:getDocumentClassifierEndpoint
arguments:
# arguments dictionarydata "aws-native_comprehend_get_document_classifier_endpoint" "name" {
# arguments
}The following arguments are supported:
- Arn string
- The Amazon Resource Name (ARN) of the document classifier endpoint.
- Arn string
- The Amazon Resource Name (ARN) of the document classifier endpoint.
- arn string
- The Amazon Resource Name (ARN) of the document classifier endpoint.
- arn String
- The Amazon Resource Name (ARN) of the document classifier endpoint.
- arn string
- The Amazon Resource Name (ARN) of the document classifier endpoint.
- arn str
- The Amazon Resource Name (ARN) of the document classifier endpoint.
- arn String
- The Amazon Resource Name (ARN) of the document classifier endpoint.
getDocumentClassifierEndpoint Result
The following output properties are available:
- Arn string
- The Amazon Resource Name (ARN) of the document classifier endpoint.
- Creation
Time string - The creation date and time of the endpoint.
- Current
Inference intUnits - The number of inference units currently used by the model using this endpoint.
- Desired
Inference intUnits - The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.
- Last
Modified stringTime - The date and time that the endpoint was last modified.
- Model
Arn string - The Amazon Resource Name (ARN) of the document classifier model to which the endpoint is attached.
-
List<Pulumi.
Aws Native. Outputs. Tag> - Tags associated with the endpoint being created.
- Arn string
- The Amazon Resource Name (ARN) of the document classifier endpoint.
- Creation
Time string - The creation date and time of the endpoint.
- Current
Inference intUnits - The number of inference units currently used by the model using this endpoint.
- Desired
Inference intUnits - The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.
- Last
Modified stringTime - The date and time that the endpoint was last modified.
- Model
Arn string - The Amazon Resource Name (ARN) of the document classifier model to which the endpoint is attached.
- Tag
- Tags associated with the endpoint being created.
- arn string
- The Amazon Resource Name (ARN) of the document classifier endpoint.
- creation_
time string - The creation date and time of the endpoint.
- current_
inference_ numberunits - The number of inference units currently used by the model using this endpoint.
- desired_
inference_ numberunits - The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.
- last_
modified_ stringtime - The date and time that the endpoint was last modified.
- model_
arn string - The Amazon Resource Name (ARN) of the document classifier model to which the endpoint is attached.
- list(object)
- Tags associated with the endpoint being created.
- arn String
- The Amazon Resource Name (ARN) of the document classifier endpoint.
- creation
Time String - The creation date and time of the endpoint.
- current
Inference IntegerUnits - The number of inference units currently used by the model using this endpoint.
- desired
Inference IntegerUnits - The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.
- last
Modified StringTime - The date and time that the endpoint was last modified.
- model
Arn String - The Amazon Resource Name (ARN) of the document classifier model to which the endpoint is attached.
- List<Tag>
- Tags associated with the endpoint being created.
- arn string
- The Amazon Resource Name (ARN) of the document classifier endpoint.
- creation
Time string - The creation date and time of the endpoint.
- current
Inference numberUnits - The number of inference units currently used by the model using this endpoint.
- desired
Inference numberUnits - The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.
- last
Modified stringTime - The date and time that the endpoint was last modified.
- model
Arn string - The Amazon Resource Name (ARN) of the document classifier model to which the endpoint is attached.
- Tag[]
- Tags associated with the endpoint being created.
- arn str
- The Amazon Resource Name (ARN) of the document classifier endpoint.
- creation_
time str - The creation date and time of the endpoint.
- current_
inference_ intunits - The number of inference units currently used by the model using this endpoint.
- desired_
inference_ intunits - The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.
- last_
modified_ strtime - The date and time that the endpoint was last modified.
- model_
arn str - The Amazon Resource Name (ARN) of the document classifier model to which the endpoint is attached.
- Sequence[root_Tag]
- Tags associated with the endpoint being created.
- arn String
- The Amazon Resource Name (ARN) of the document classifier endpoint.
- creation
Time String - The creation date and time of the endpoint.
- current
Inference NumberUnits - The number of inference units currently used by the model using this endpoint.
- desired
Inference NumberUnits - The desired number of inference units to be used by the model. Each inference unit represents throughput of 100 characters per second.
- last
Modified StringTime - The date and time that the endpoint was last modified.
- model
Arn String - The Amazon Resource Name (ARN) of the document classifier model to which the endpoint is attached.
- List<Property Map>
- Tags associated with the endpoint being created.
Supporting Types
Tag
Package Details
- Repository
- AWS Native pulumi/pulumi-aws-native
- License
- Apache-2.0
We recommend new projects start with resources from the AWS provider.
Viewing docs for AWS Cloud Control v1.81.0
published on Monday, Sep 28, 2026 by Pulumi
published on Monday, Sep 28, 2026 by Pulumi