CPC G06F 9/4881 (2013.01) [G06F 11/3051 (2013.01)] | 20 Claims |
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.
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