Abstract: In a knowledge obtaining method, a computing device obtains pieces of first knowledge from a model knowledge base based on a parameter, where the first knowledge is regarding a first machine-learning model. The model knowledge base stores data regarding attributes of multiple machine-learning models, and the data are organized in a searchable manner based the parameter, which includes one or a combination of: knowledge in a machine learning task, an attribute of the machine learning task, and knowledge between a plurality of machine learning tasks. The computing device then provides the pieces of the first knowledge to a user.