公开(公告)号：US20230401512A1

公开(公告)日：2023-12-14

申请号：US17839260

申请日：2022-06-13

Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.

Inventor： Brandon Bolong Lee ,  Andrew Campbell ,  Ana Armenta ,  Prince Paulraj

IPC: G06Q10/06 ,  G06N20/00 ,  G06N5/02

CPC classification number: G06Q10/0637 ,  G06N20/00 ,  G06N5/025

Abstract: Mitigation of temporal generalization losses a target machine learning model is disclosed. Mitigation can be based on identifying, removing, modifying, transforming, etc., features, explanatory variables, models, etc., that can have an unstable relationship with a target outcome over time. Implementation of a more stable representation can be initiated. Temporal stability measures (TSMs) for one or more model feature(s) can be determined based on one or more variable performance metrics (VPMs). A group of one or more VPMs can be selected based on features of a model in either a development or production environment. Model feature modification can be recommended based on a TSM, which can prune a feature, transform a feature, add a feature, etc. Temporal stability information can be presented, e.g., via a dashboard-type user interface. Models can be updated based on mutations of a model comprising a feature modification(s), including competitive champion/challenger model updating.