I tried a custom ranking objective function for LGBMRanker but LGBMRanker does not call the custom loss function with the group argument, which is mandatory for learning to rank. import lightgbm as ...

notice that in veci = 5. * lbl [:, -2:] loss = criterion (y [:, -3:-1], veci), you compute mse bewteen GT and prediction. GT flows are multiplied by a factor of 5, while the prediction is not.

Abstract: Influence maximization (IM) has been extensively studied due to its wide range of applications in scenarios such as transportation networks. In existing studies, the IM problem is primarily ...

Abstract: Internet of things (IoT) is a developing technology that enables the devices to communicate without human interaction. Routing is an important factor affecting the connectivity and the ...