The embodiment of the application provides a kind of
hyperparameter optimization method and device, computing device, which comprises: determining the first
hyperparameter instance corresponding to the current
hyperparameter of
data processing system;Determine the first effect evaluation information corresponding to the first hyperparameter instance based on the first training result of the first hyperparameter instance in
data processing system;Obtain a plurality of historical hyperparameter instances and a plurality of historical effect evaluation information corresponding to the historical hyperparameter instance respectively;According to the first effect evaluation information corresponding to the first hyperparameter instance and the historical effect evaluation information corresponding to the plurality of historical hyperparameter instances respectively, select the target hyperparameter instance with the highest effect evaluation from the first hyperparameter instance and the plurality of historical hyperparameter instances.The embodiment of the application improves the
hyperparameter optimization efficiency.