公开(公告)号：US11348032B1

公开(公告)日：2022-05-31

申请号：US16120279

申请日：2018-09-02

Applicant: Meta Platforms, Inc.

Inventor： Jurgen Anne Francois Marie Van Gael ,  Yu Ning ,  Hao Shi ,  Fei Xie ,  Bingyue Peng ,  Shyamsundar Rajaram ,  Xin Liu ,  Zhen Yao ,  Peng Yang ,  Robert Oliver Burns Zeldin ,  Piyush Bansal

IPC: G06N20/00 ,  G06F8/30

Abstract: Machine-trained models are generated based on a model description that defines parameters for training the model and that can inherit parameters from parent model descriptions. When a parent model description changes, the changes made to the parent model description are applied to the model description automatically. When a target model is re-generated, a description of the set of parameters for generating the target model is received. The parent model is then identified from the received description, and a description of the set of parameters for generating the parent model is retrieved. Using the description for the target model and the parent model, a pipeline for generating the target model is generated. Finally, the pipeline is executed to generate the target model.