Patents by Inventor Eric Wayman

Eric Wayman has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11526799
    Abstract: Methods and systems are provided to determine suitable hyperparameters for a machine learning model and/or feature engineering process. A suitable machine learning model and associated hyperparameters are determined by analyzing a dataset. Suitable hyperparameter values for compatible machine learning models having one or more hyperparameters in common and a compatible dataset schema are identified. Hyperparameters may be ranked according to each of their respective influences on a model performance metrics, and hyperparameter values identified as having greater influence may be more aggressively searched.
    Type: Grant
    Filed: January 31, 2019
    Date of Patent: December 13, 2022
    Assignee: Salesforce, Inc.
    Inventors: Kevin Moore, Leah McGuire, Eric Wayman, Shubha Nabar, Vitaly Gordon, Sarah Aerni
  • Publication number: 20200057958
    Abstract: Methods and systems are provided to determine suitable hyperparameters for a machine learning model and/or feature engineering process. A suitable machine learning model and associated hyperparameters are determined by analyzing a dataset. Suitable hyperparameter values for compatible machine learning models having one or more hyperparameters in common and a compatible dataset schema are identified. Hyperparameters may be ranked according to each of their respective influences on a model performance metrics, and hyperparameter values identified as having greater influence may be more aggressively searched.
    Type: Application
    Filed: January 31, 2019
    Publication date: February 20, 2020
    Inventors: Kevin Moore, Leah McGuire, Eric Wayman, Shubha Nabar, Vitaly Gordon, Sarah Aerni