This disclosure provide a method and a related apparatus. The method includes: determining, from a learnware library, a first reuse model matching a target data set, where the learnware library includes a plurality of learnwares, each of the learnwares includes one reuse model and one model specification, the first reuse model is a reuse model included in one learnware in the learnware library, the target data set includes a plurality of pieces of target data, and the plurality of pieces of target data are tabular data; performing shrinkage adjustment on the first reuse model based on the target data set, to obtain a second reuse model; performing model expansion based on the target data set and the second reuse model, to obtain a third reuse model; and integrating the second reuse model and the third reuse model, to obtain a target reuse model corresponding to the target data set.