CPC G06N 5/04 (2013.01) [G06N 20/00 (2019.01)] | 20 Claims |
1. A method, comprising:
receiving an inference request including a model identifier and a target defining a set of features for use in processing the inference request, wherein the set of features correspond to a task for evaluation using a machine learning model associated with the model identifier;
determining based on the model identifier an additional feature, related to the set of features, for processing the inference request;
generating an inference outcome corresponding to the inference request being processed using the target and the additional feature as input to the machine learning model; and
training the machine learning model based on feedback resulting from the inference outcome, the feedback indicating an accuracy of the inference outcome with respect to the task.
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