Struct aws_sdk_comprehend::client::fluent_builders::StopTrainingEntityRecognizer

pub struct StopTrainingEntityRecognizer<C = DynConnector, M = AwsMiddleware, R = Standard> { /* fields omitted */ }

Fluent builder constructing a request to StopTrainingEntityRecognizer.

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.

Implementations

impl<C, M, R> StopTrainingEntityRecognizer<C, M, R> where
    C: SmithyConnector,
    M: SmithyMiddleware<C>,
    R: NewRequestPolicy, 

pub async fn send(
    self
) -> Result<StopTrainingEntityRecognizerOutput, SdkError<StopTrainingEntityRecognizerError>> where
    R::Policy: SmithyRetryPolicy<StopTrainingEntityRecognizerInputOperationOutputAlias, StopTrainingEntityRecognizerOutput, StopTrainingEntityRecognizerError, StopTrainingEntityRecognizerInputOperationRetryAlias>, 

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn entity_recognizer_arn(self, inp: impl Into<String>) -> Self

The Amazon Resource Name (ARN) that identifies the entity recognizer currently being trained.

pub fn set_entity_recognizer_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) that identifies the entity recognizer currently being trained.

Trait Implementations

impl<C: Debug, M: Debug, R: Debug> Debug for StopTrainingEntityRecognizer<C, M, R>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.