0202607e12080c34671011902edcd832c50273c0,loudml/loudml/worker.py,Worker,predict,#Worker#Any#Any#Any#Any#Any#,120

Before Change

        elif model.type == "fingerprints":
            logging.info("job[%s]: computing fingerprints for model "%s"",
                         self.job_id, self.model.name)
            if save_prediction:
                self.storage.save_model(model)
        else:
            logging.info("job[%s] prediction done", self.job_id)

    def forecast(

After Change

                        measurement="scores_{}".format(model.name),
                    )

                self.storage.save_model(model)
        else:
            logging.info("job[%s] prediction done", self.job_id)

    def forecast(

Instances