公开(公告)号：US20220335314A1

公开(公告)日：2022-10-20

申请号：US17233600

申请日：2021-04-19

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Jacques DOAN HUU ,  Elouan ARGOUARCH

IPC: G06N5/04 ,  G06N20/00

Abstract: Provided is a system and method which decomposes a predicted output signal of a time-series forecasting model into a plurality of sub signals that correspond to a plurality of components, and determines and displays a global contribution of each component. In one example, the method may include iteratively predicting an output signal of a time-series data value via execution of a time-series model, decomposing the predicted output signal into a plurality of component signals corresponding to a plurality of components of the time-series machine learning algorithm, respectively, and displaying the plurality of global values via a user interface.

公开(公告)号：US20250053836A1

公开(公告)日：2025-02-13

申请号：US18931779

申请日：2024-10-30

Applicant: BUSINESS OBJECTS SOFTWARE LTD.

Inventor： Jacques DOAN HUU ,  Elouan ARGOUARCH

IPC: G06N5/04 ,  G06N20/00

Abstract: Provided are a system and method which iteratively predicts an output signal of a time-series data value via execution of a time-series machine learning model on input data, decomposes the predicted output signal into a plurality of component signals corresponding to a plurality of components of the time-series machine learning model, the plurality of component signals comprising a trend signal. a cyclic signal, and a fluctuation signal, determines a plurality of global values respectively corresponding to the plurality of component signals for a first subset of the predicted output signal, where a global value is determined based on an absolute value of a respective component signal within the first subset, constructs a plurality of bars respectively corresponding to global values of the plurality of component signals, and displays the plurality of bars via a user interface.