Loss Function, Data Science, Heartbeat, Data Science For Ml.
twice differentiable functions are more favorable. Objective function used in XgBoost. Notice dependency on both 1st and 2nd order derivative But Log-cosh loss isn’t perfect. It still suffers from the problem of gradient and hessian for very large off-target predictions being constant, therefore