DoorDash, Inc. patent applications on October 17th, 2024
Patent Applications by DoorDash, Inc. on October 17th, 2024
DoorDash, Inc.: 1 patent applications
DoorDash, Inc. has applied for patents in the areas of G06N20/20 (1) G06N20/20 (1)
With keywords such as: machine, learning, models, time, series, forecasts, train, data, ensemble, and used in patent application abstracts.
Patent Applications by DoorDash, Inc.
Inventor(s): Qiyun Pan of Mountain View CA (US) for doordash, inc., Hanyu Yang of Jersey City NJ (US) for doordash, inc., Ryan Scott Schork of San Francisco CA (US) for doordash, inc., Swaroop Chitlur Haridas of San Ramon CA (US) for doordash, inc.
IPC Code(s): G06N20/20
CPC Code(s): G06N20/20
Abstract: methods and systems for time series forecasting using ensemble machine learning are disclosed. a computer system (distributed or otherwise) can instantiate, train, and use a plurality of machine learning models to generate time series forecasts. these can include both different types of machine learning models, as well as similar machine learning models that have different configurations. embodiments of the present disclosure can use a novel modification of k-folds cross validation techniques that preserves the order of temporal data. time series data can be partitioned into segments and folds and used to train and test the plurality of machine learning models. forecasts produced by the trained machine learning models, along with historical time series data (or “actuals”) can be used to train an ensemble machine learning model to produce an ensemble forecast based on forecasts generated by the trained machine learning models.
