ALEXANDRIA, Va., June 16 -- United States Patent no. 12,306,909, issued on May 20, was assigned to Anaplan Inc. (San Francisco).
"Times series model explainability" was invented by Oren Matar (Ramat Gan, Israel) and Maya Bercovitch (Neve Yamin, Finland).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method for a time series forecaster including a machine learning (ML) model and a time series forecasting algorithm may be used to generate a future forecast model for a time series dataset. The future forecast model includes a future prediction showing a future forecast of the time series dataset. Rather than simply presenting the importance of a forecasting model feature in a limited manner, such as in the for...