METHOD AND APPARATUS FOR GENERATING INFORMATION

Embodiments of the present disclosure relate to a method and apparatus for generating information. The method may include: receiving a modeling request; determining a target number of initial machine learning pipelines according to a type of training data and a model type; and executing following mo...

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Main Authors QIN, Wenjing, JIANG, Zeqing, ZHANG, Jin, CHEN, Xingbo, XUE, Liqiang, XIE, Guobin, QU, Fu, LUO, Xiaolan, HAN, Guangyao, DU, Hongjiang, LIU, Yanjiang
Format Patent
LanguageEnglish
Published 24.12.2020
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Summary:Embodiments of the present disclosure relate to a method and apparatus for generating information. The method may include: receiving a modeling request; determining a target number of initial machine learning pipelines according to a type of training data and a model type; and executing following model generation steps using the target number of initial machine learning pipelines: generating a target number of new machine learning pipelines based on the target number of initial machine learning pipelines; performing model training based on the training data, the target number of initial machine learning pipelines, and the target number of new machine learning pipelines, to generate trained models; evaluating the obtained trained models respectively according to the evaluation indicator; determining whether a preset training termination condition is reached; and determining, in response to determining the preset training termination condition being reached, a target trained model from the obtained trained models according to evaluation results.
Bibliography:Application Number: US201916722649