CPC G06F 16/245 (2019.01) [G06F 16/2228 (2019.01); G06F 16/319 (2019.01); G06N 5/025 (2013.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A computer-implemented method, comprising:
before receiving a subsequent model input that is associated with at least one or more features:
generating, using a machine learning model, data indicating a predicted model output for a model input that is associated with the one or more features, wherein the predicted model output is generated by the predictive model based at least on the one or more features; and
storing, in a record entry of a database for an index, data that associates the one or more features with the data indicating the predicted model output generated by the predictive model;
receiving the subsequent model input that is associated with at least the one or more features;
in response to receiving the subsequent model input:
accessing the record entry of the database for the index to identify the predicted model output that was previously generated by the predictive model based at least on the one or more features associated with the subsequent model input; and
providing data corresponding to the predicted model output in response to the subsequent model input.
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