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MONITORING AND COMPARING FEATURES ACROSS ENVIRONMENTS

  • US 20190325351A1
  • Filed: 04/20/2018
  • Published: 10/24/2019
  • Est. Priority Date: 04/20/2018
  • Status: Abandoned Application
First Claim
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1. A method, comprising:

  • selecting, by one or more computer systems, a set of entity keys associated with reference feature values used with a machine learning model, wherein the reference feature values are generated in a first environment;

    matching, by the one or more computer systems, the set of entity keys to feature values from a second environment;

    comparing the feature values and the reference feature values to assess a consistency of a feature across the first and second environments; and

    outputting a result of the assessed consistency for use in managing the feature in the first and second environments.

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