CPC G06N 3/086 (2013.01) [G06N 3/045 (2023.01)] | 20 Claims |
1. A method comprising:
determining via a processor an initial trained neural network based on initial training data that includes a plurality of training data observations, each of the training data observations including a respective plurality of initial training data feature values and a respective initial training data observed outcome value;
determining via the processor a plurality of initial training data predicted outcome values by applying the initial trained neural network to the initial training data feature values;
determining via the processor an updated trained neural network based on updated training data, the updated training data including a first portion including incremental training data not included in the initial training data, the updated training data including a second portion including the plurality of initial training data feature values and the plurality of initial training predicted outcome values;
determining via the processor one or more live data predicted outcome values by applying the updated trained neural network to live data; and
storing the live data predicted outcome values on a storage device.
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