Compute the relative absolute error regression loss.
Estimated target values vector
Ground truth (correct) target values vector
Relative Absolute Error Loss
reg <- lm(log(dist) ~ log(speed), data = cars)
RAE(y_pred = exp(reg$fitted.values), y_true = cars$dist)
Questions? Problems? Suggestions? Tweet to @rdrrHQian@mutexlabs.com.
Please suggest features or report bugs with the GitHub issue tracker.
All documentation is copyright its authors; we didn't write any of that.