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US 11,531,831 B2Granted
Managing machine learning features
AssigneeMeta Platforms, Inc.
InventorsHongzhong Jia, Jay Parikh
Life of this patent
Estimating the term…
Abstract
A machine learning model is trained. A feature importance metric is determined for each machine learning feature of a plurality of machine learning features of the machine learning model. Based on the feature importance metrics, one or more machine learning features of the plurality of machine learning features of the machine learning model are managed.
Claims20
A method, comprising:
- training a machine learning model;
- determining a feature importance metric for each machine learning feature of a plurality of machine learning features of the machine learning model;
- and
- based on the feature importance metrics, managing one or more machine learning features of the plurality of machine learning features of the machine learning model, wherein managing the one or more machine learning features of the machine learning model includes managing together machine learning features of a plurality of different machine learning models.
1 more element
A system, comprising:
- a processor configured to:
- train a machine learning model;
- determine a feature importance metric for each machine learning feature of a plurality of machine learning features of the machine learning model;
- and
- based on the feature importance metrics, manage one or more machine learning features of the plurality of machine learning features of the machine learning model, wherein being configured to manage the one or more machine learning features of the machine learning model includes being configured to manage together machine learning features of a plurality of different machine learning models;
- and
- a memory coupled to the processor and configured to provide the processor with instructions.
4 more elements
A computer program product, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
- training a machine learning model;
- determining a feature importance metric for each machine learning feature of a plurality of machine learning features of the machine learning model;
- and
- based on the feature importance metrics, managing one or more machine learning features of the plurality of machine learning features of the machine learning model, wherein managing the one or more machine learning features of the machine learning model includes managing together machine learning features of a plurality of different machine learning models.
1 more element
Dependencies are inferred from the claim text.