Machine learning techniques for predictive multi-variate temporal feature impact determinations
AssigneeWells Fargo Bank, N.A.
InventorsTianjie Wang, Joel Vaughan, Vijayan Nair, Agus Sudjianto, Jie Chen
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AssigneeWells Fargo Bank, N.A.
InventorsTianjie Wang, Joel Vaughan, Vijayan Nair, Agus Sudjianto, Jie Chen
Estimating the term…
Systems, apparatuses, methods, and computer program products are disclosed for generating a predictive temporal feature impact report using a feature engineering machine with attention for time series (FEATS model). An example method includes receiving an entity input data object. The method further includes determining one or more attention head scores for each feature attention head included in the FEATS model based at least in part on one or more per-temporal feature time impact scores over each time window for each temporal feature set. The method further includes generating a predictive temporal feature impact report based at least in part on at least one of the one or more attention head scores for each attention head or the one or more per-temporal feature time impact scores for each temporal feature time point as determined in each attention head.
A computer-implemented method for generating a predictive temporal feature impact report for an entity using a feature engineering machine with attention for time series (FEATS) model including one or more feature attention heads, the computer-implemented method comprising:
An apparatus for generating a predictive temporal feature impact report for an entity using a FEATS model including one or more feature attention heads, the apparatus comprising:
A computer program product for generating a predictive temporal feature impact report for an entity using a FEATS model including one or more feature attention heads, the computer program product comprising at least one non-transitory computer-readable storage medium storing software instructions that, when executed, cause an apparatus to:
Dependencies are inferred from the claim text.