US 12,204,938 B2
Pipeline-based machine learning method and apparatus, electronic device, and computer readable storage medium
Luyang Cao, Shenzhen (CN)
Assigned to TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen (CN)
Filed by TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen (CN)
Filed on May 11, 2023, as Appl. No. 18/196,326.
Application 18/196,326 is a continuation of application No. PCT/CN2022/113272, filed on Aug. 18, 2022.
Claims priority of application No. 202111112725.6 (CN), filed on Sep. 23, 2021.
Prior Publication US 2023/0281040 A1, Sep. 7, 2023
Int. Cl. G06F 9/48 (2006.01); G06F 11/30 (2006.01)
CPC G06F 9/4881 (2013.01) [G06F 11/3051 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A pipeline-based machine learning method, performed by an electronic device and comprising:
determining a plurality of target components from candidate components configured to construct a machine learning model;
performing standardization processing on input data and output data of the plurality of target components to obtain a plurality of standardized components respectively corresponding to the plurality of target components;
assembling, based on a connection relationship between the plurality of standardized components, the plurality of standardized components into a pipeline corresponding to the machine learning model;
performing scheduling processing on the plurality of standardized components comprised in the pipeline, to obtain a scheduling result; and
executing, based on the scheduling result, a machine learning task corresponding to the machine learning model.