Hi,
What does “reg:linear” mean? Can this mode be used for nonlinear regression?
Hi,
What does “reg:linear” mean? Can this mode be used for nonlinear regression?
In this context, “reg:linear” means that the squared loss is used.
loss = (true_label - pred_label)^2
Decision trees are nonlinear models, so “linear” does not mean you have to only use linear models.