FEATURE STORE WITH INTEGRATED TRACKING
    1.
    发明公开

    公开(公告)号:US20230177072A1

    公开(公告)日:2023-06-08

    申请号:US18162625

    申请日:2023-01-31

    CPC classification number: G06F16/288 G06F30/27

    Abstract: The present application discloses a method, system, and computer system for managing a plurality of features and storing lineage information pertaining to the features. The method includes obtaining one or more datasets, determining a first feature, wherein the first feature is determined based at least in part on the one or more datasets, and storing the first feature in a feature store. The first feature is stored in association with a dataset indication of the one or more datasets from which the first feature is determined. The feature store comprises a plurality of features.

    FEATURE FUNCTION BASED COMPUTATION OF ON-DEMAND FEATURES OF MACHINE LEARNING MODELS

    公开(公告)号:US20240412095A1

    公开(公告)日:2024-12-12

    申请号:US18206460

    申请日:2023-06-06

    Abstract: A system performs training and execution of machine learning models that use on-demand features using feature functions. The system receives commands for registering metadata associated with a machine learning model. The machine learning model may process a set of features including on-demand features as well as other features such as batch features. The system executes the command by storing an association between the machine learning model and the feature functions associated with any on-demand features processed by the machine learning model. The feature functions are executed using an end point of a data asset service. The use of the data asset service for invoking the feature functions ensures that the same set of instructions is executed during model training and model inferencing, thereby avoiding model skew.

    FEATURE STORE WITH INTEGRATED TRACKING

    公开(公告)号:US20220374457A1

    公开(公告)日:2022-11-24

    申请号:US17514997

    申请日:2021-10-29

    Abstract: The present application discloses a method, system, and computer system for managing a plurality of features and storing lineage information pertaining to the features. The method includes obtaining one or more datasets, determining a first feature, wherein the first feature is determined based at least in part on the one or more datasets, and storing the first feature in a feature store. The first feature is stored in association with a dataset indication of the one or more datasets from which the first feature is determined. The feature store comprises a plurality of features.

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