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Management and Evaluation of Machine-Learned Models Based on Locally Logged Data

  • US 20180144265A1
  • Filed: 11/21/2016
  • Published: 05/24/2018
  • Est. Priority Date: 11/21/2016
  • Status: Active Grant
First Claim
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1. A computer-implemented method to manage machine-learned models, the method comprising:

  • obtaining, by a user computing device, a plurality of machine-learned models;

    evaluating, by the user computing device, at least one performance metric for each of the plurality of machine-learned models, wherein the at least one performance metric for each machine-learned model is evaluated relative to data that is stored locally at the user computing device;

    determining, by the user computing device, a selection of a first machine-learned model from the plurality of machine-learned models based at least in part on the performance metrics respectively evaluated for the plurality of machine-learned models; and

    using, by the user computing device, the selected first machine-learned model to obtain one or more predictions.

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