Stops an entity recognizer training job while in progress.
If the training job state is TRAINING, the job is marked for termination and put into the STOP_REQUESTED state. If the training job completes before it can be stopped, it is put into the TRAINED; otherwise the training job is stopped and putted into the STOPPED state and the service sends back an HTTP 200 response with an empty HTTP body.
Parameters:
-
entity_recognizer_arn
(EntityRecognizerArn)
–
The Amazon Resource Name (ARN) that identifies the entity recognizer currently being trained.
Raises:
Source code in docs_src/capo_comprehend/_services/comprehend.py
| def stop_training_entity_recognizer(
self,
entity_recognizer_arn: "capo_comprehend.types.entity_recognizer_arn.EntityRecognizerArn",
*,
config_overrides: Optional[ComprehendClientConfig] = None,
) -> "capo_comprehend.types.stop_training_entity_recognizer_response.StopTrainingEntityRecognizerResponse":
"""<p>Stops an entity recognizer training job while in progress.</p> <p>If the training job state is <code>TRAINING</code>, the job is marked for termination and put into the <code>STOP_REQUESTED</code> state. If the training job completes before it can be stopped, it is put into the <code>TRAINED</code>; otherwise the training job is stopped and putted into the <code>STOPPED</code> state and the service sends back an HTTP 200 response with an empty HTTP body.</p>
Args:
entity_recognizer_arn: <p>The Amazon Resource Name (ARN) that identifies the entity recognizer currently being trained.</p>
Raises:
capo_comprehend.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
capo_comprehend.errors.invalid_request_exception.InvalidRequestException: <p>The request is invalid.</p>
capo_comprehend.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource ARN was not found. Check the ARN and try your request again.</p>
capo_comprehend.errors.too_many_requests_exception.TooManyRequestsException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
capo_comprehend.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_comprehend.types.stop_training_entity_recognizer_request.StopTrainingEntityRecognizerRequest]",
) -> OperationResponse[
"capo_comprehend.types.stop_training_entity_recognizer_response.StopTrainingEntityRecognizerResponse"
]:
import capo_comprehend._operations.comprehend_20171127.stop_training_entity_recognizer
output, http_response = (
capo_comprehend._operations.comprehend_20171127.stop_training_entity_recognizer.stop_training_entity_recognizer(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("StopTrainingEntityRecognizer")
)
input_: capo_comprehend.types.stop_training_entity_recognizer_request.StopTrainingEntityRecognizerRequest = {
"entity_recognizer_arn": entity_recognizer_arn
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|