公开(公告)号：US20240412095A1

公开(公告)日：2024-12-12

申请号：US18206460

申请日：2023-06-06

Applicant: Databricks, Inc.

Inventor： Matei Zaharia ,  Avesh Singh ,  Mani Parkhe ,  Maxim Lukiyanov ,  Xiangrui Meng ,  Aakrati Talati ,  Chenen Liang ,  Kasey Uhlenhuth

IPC: G06N20/00

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.