async fn create_auto_ml_job(
        &self,
        input: CreateAutoMLJobRequest,
    ) -> Result<CreateAutoMLJobResponse, RusotoError<CreateAutoMLJobError>> {
        let mut request = self.new_signed_request("POST", "/");
        request.add_header("x-amz-target", "SageMaker.CreateAutoMLJob");
        let encoded = serde_json::to_string(&input).unwrap();
        request.set_payload(Some(encoded));

        let response = self
            .sign_and_dispatch(request, CreateAutoMLJobError::from_response)
            .await?;
        let mut response = response;
        let response = response.buffer().await.map_err(RusotoError::HttpDispatch)?;
        proto::json::ResponsePayload::new(&response).deserialize::<CreateAutoMLJobResponse, _>()
    }
<p>Creates an Autopilot job.</p> <p>Find the best performing model after you run an Autopilot job by calling .</p> <p>For information about how to use Autopilot, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html">Automate Model Development with Amazon SageMaker Autopilot</a>.</p>
rusoto/services/sagemaker/src/generated.rs