AUTOMATIC FORECASTING USING META-LEARNING
    1.
    发明公开

    公开(公告)号:US20240152769A1

    公开(公告)日:2024-05-09

    申请号:US18050607

    申请日:2022-10-28

    Applicant: ADOBE INC.

    CPC classification number: G06N3/0985 G06Q10/04

    Abstract: Systems and methods for automatic forecasting are described. Embodiments of the present disclosure receive a time-series dataset; compute a time-series meta-feature vector based on the time-series dataset; generate a performance score for a forecasting model using a meta-learner machine learning model that takes the time-series meta-feature vector as input; select the forecasting model from a plurality of forecasting models based on the performance score; and generate predicted time-series data based on the time-series dataset using the selected forecasting model.

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