Patents by Inventor Guillaume LASNIER

Guillaume LASNIER 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).

  • Publication number: 20230394023
    Abstract: Provided is a system and method for automated feature engineering of multidimensional data. The system and method may generate a flat data set for use in training a machine learning model from a multidimensional data set. In one example, the method may include extracting metadata of multidimensional data, generating declarative statements of features that are to be derived from the multidimensional data based on hierarchical attributes of the multidimensional data which are identified from the extracted metadata, querying, via a query engine, the multidimensional data based on the generated declarative statements to generate the derived features, and storing the derived features in a training data set.
    Type: Application
    Filed: August 22, 2023
    Publication date: December 7, 2023
    Inventors: Mokrane AMZAL, Guillaume LASNIER
  • Patent number: 11741069
    Abstract: Provided is a system and method for automated feature engineering of multidimensional data. The system and method may generate a flat data set for use in training a machine learning model from a multidimensional data set. In one example, the method may include extracting metadata of multidimensional data, generating declarative statements of features that are to be derived from the multidimensional data based on hierarchical attributes of the multidimensional data which are identified from the extracted metadata, querying, via a query engine, the multidimensional data based on the generated declarative statements to generate the derived features, and storing the derived features in a training data set.
    Type: Grant
    Filed: August 24, 2020
    Date of Patent: August 29, 2023
    Assignee: SAP SE
    Inventors: Mokrane Amzal, Guillaume Lasnier
  • Publication number: 20220058169
    Abstract: Provided is a system and method for automated feature engineering of multidimensional data. The system and method may generate a flat data set for use in training a machine learning model from a multidimensional data set. In one example, the method may include extracting metadata of multidimensional data, generating declarative statements of features that are to be derived from the multidimensional data based on hierarchical attributes of the multidimensional data which are identified from the extracted metadata, querying, via a query engine, the multidimensional data based on the generated declarative statements to generate the derived features, and storing the derived features in a training data set.
    Type: Application
    Filed: August 24, 2020
    Publication date: February 24, 2022
    Inventors: Mokrane AMZAL, Guillaume LASNIER