METHOD AND DEVICE FOR ACQUIRING TRAINING SAMPLE OF FIRST MODEL ON BASIS OF SECOND MODEL

摘要

A method and device for acquiring a training sample of a first model on the basis of a second model, the method comprising: acquiring at least one first sample (S202), each first sample comprising characteristic data and a tag value, and the tag value corresponding to a predicted value of a first model; inputting the characteristic data of the at least one first sample into a second model respectively such that the second model performs output multiple times on the basis of the characteristic data of each first sample respectively, and on the basis of various output values respectively outputted by the second model, acquiring from the at least one first sample a first training sample set used for training the first model (S204), wherein the output values predict whether to choose a corresponding first sample as a training sample.