loss_MCE_hess: Mean Cubic Error (hessian function)
Description
This function computes the Mean Cubic Error loss (MCE) hessian per value provided preds
and labels
.Usage
loss_MCE_hess(y_pred, y_true)
Value
The hessian of the Cubic Error per value.Details
Supposing: \(x = preds - labels\) Loss Formula : \(abs(x^3)\) Gradient Formula : \(3 * (x * abs(x))\) Hessian Formula : \((6 * x * x) / abs(x)\)