Data Purchase Volume and Model Pricing in Machine Learning Model Transactions
Cost allocation problem based on Shapley value summation on data boundaries is constructed.U-sing the fast algrithm of the Truncated Monte Carlo,the existence of the optimal solution of the data boundary is proved.Aiming at pricing scenarios of different versions of the models,the pricing problem of the income maximizing model of the model broker is defined,and the pricing problem of the income maximizing model is transformed into an equivalent integer linear programming problem.By public datasets,our proposed method is validated its correctness,and the experiment is compared with four existing methods,simultaneously.The experimental results show that the proposed method can increase the income of the model broker and the pur-chase ratio of the model buyer.
data pricingmodel pricingShapley valueinteger programming
万方数据
维普
