Royal Bank of Canada
System and method for reproducible machine learning
Last updated:
Abstract:
Systems and methods for computationally generating a set of more "stable" configuration default values that are used for traceability and improving reproducibility of machine learning approaches. Hash values are generated based on a merged/modified configuration and both configuration content and hash are stored together in one or more data structures. These data structures can be used to link back to the actual values used in experiments.
Status:
Grant
Type:
Utility
Filling date:
21 Aug 2018
Issue date:
13 Oct 2020