Patent ID: 11893467
Assignee: H2O.AI INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. A system, comprising:
a processor configured to:
generate a global surrogate model that includes a linear surrogate model and one or more non-linear surrogate models to approximate an output of a machine learning model;
receive, via a user interface, a selection of a data point included in the linear surrogate model;
in response to the selection of the data point included in the linear surrogate model, update the one or more non-linear surrogate models to be specified for the selected point;
determine that prediction data associated with the linear surrogate model correlates with predication data associated with machine learning model and prediction data associated with one of the non-linear surrogate models correlates with the prediction data associated with the machine learning model; and
utilize the linear surrogate model and the one of the non-linear surrogate models to display within the user interface an indication of one or more input features of input data associated with the machine learning model that influenced the prediction data associated with the machine learning model; and

a memory coupled to the processor and configured to provide the processor with instructions.