Beijing Baidu Netcom Science and Technology Co., Ltd.

Xiaolan Luo

Jin Zhang

Guangyao Han

Zeqing Jiang

Hongjiang Du

Xingbo Chen

Wenjing Qin

Guobin Xie

Fu Qu

Yanjiang Liu

Liqiang Xue

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.

Method and apparatus for generating information

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Beijing, China

Xiaolan Luo