Try printing the value of `param` in your `obj` function before calling
train() or getTrainPerf(). Optimizers are prone to giving unexpected
values [*] in trying to lower the loss function. It might be the case
of an unconstrained optimizer leaving the realm of the feasible because
no-one told it
Hi
I am using Simulated annealing to tune the parameters of xgbtree for
regression dataset. When I run the code to tune the parameters of SVM and
RF, it works but when I run the same code for xgbTree, it gives stops and
give error:
Something is wrong; all the MAE metric values are missing:
2 matches
Mail list logo
