Compute the root mean squared logarithmic error regression loss.
Estimated target values vector
Ground truth (correct) target values vector
Root Mean Squared Logarithmic Error Loss
reg <- lm(log(dist) ~ log(speed), data = cars)
RMSLE(y_pred = exp(reg$fitted.values), y_true = cars$dist)
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