GitHub

[python-package] LGBMRanker does not call custom objective function with group

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 ...
IEEE

Application of Inversion Method With F-K Spectrum as Objective Function in High-Speed Train Seismic Data

Abstract: As a new type of seismic source, the high-speed train (HST) seismic source has great application potential in subsurface imaging in terms of high intensity, strong repeatability, and wide ...
GitHub

[BUG] semantic error in learning objective loss function

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.
IEEE

Expensive Many-Objective Evolutionary Optimization With a Self-Adaptive Surrogate Model

Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have gained increasing attention for addressing expensive many-objective optimization problems (EMaOPs). Generally, the same type of ...