e75a9f5ac887b89fcc11b82aba2a38d68863acde,src/sdk/pynni/nni/curvefitting_assessor/curvefitting_assessor.py,CurvefittingAssessor,assess_trial,#CurvefittingAssessor#Any#Any#,75

Before Change

            logger.info("Prediction done. Trial job id = %s. Predict value = %s", trial_job_id, predict_y)
            if predict_y is None:
                logger.info("wait for more information to predict precisely")
                return AssessResult.Good
            standard_performance = self.completed_best_performance * self.threshold

            end_time = datetime.datetime.now()
            if (end_time - start_time).seconds > 60:

After Change

            predict_y = curvemodel.predict(scalar_trial_history)
            log_message = "Prediction done. Trial job id = {}, Predict value = {}".format(trial_job_id, predict_y)
            if predict_y is None:
                logger.info("%s, wait for more information to predict precisely", log_message)
                return AssessResult.Good
            else:
                logger.info(log_message)
            standard_performance = self.completed_best_performance * self.threshold

Instances