专利名称:MODEL INTERPRETATION
发明人:CHAN, Mark,GILL, Navdeep,HALL, Patrick申请号:US2019/026331申请日:20190408
公开号:WO2019/204072A1公开日:20191024
专利附图:
摘要:Input data associated with a machine learning model is classified into a pluralityof clusters. A plurality of linear surrogate models are generated. One of the plurality oflinear surrogate models corresponds to one of the plurality of clusters. A linear
surrogate model is configured to output a corresponding prediction based on input data
associated with a corresponding cluster. Prediction data associated with the machinelearning model and prediction data associated with the plurality of linear surrogatemodels are outputted.
申请人:H2O.AI INC.
地址:2307 Leghorn Street Mountain View, CA 94043 US
国籍:US
代理人:HWANG, Timothy, H.
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