公开(公告)号：US20250077901A1

公开(公告)日：2025-03-06

申请号：US18238708

申请日：2023-08-28

Applicant: Oracle International Corporation

Inventor： Ankit Kumar Aggarwal ,  Navya Sree Yadavalli ,  Ravijeet Ranjit Kumar ,  Hariharan Balasubramanian ,  Jie Xing

IPC: G06N5/022

Abstract: Techniques for multi-output model forecasting are provided herein. An example method can include a computing system receiving a request to forecast a value for a variable at a future time point based upon a time series, the time series comprising a sequence of data points, each data point in the sequence of data points identifying a time point and at least one value associated with the time point. The computing system can predict, using a first trained machine learning model and based upon the times series, a plurality of forecast values for the future time point, the plurality of forecast values including: a first forecast value forecasted for the variable at the future time point; and a set of one or more forecast attribute values for one or more attributes of the time series, each of the set of one or more forecast attribute values predicted for the future time point.