MSLE
MSLE()
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Computes the mean squared logarithmic error between y_true
and y_pred
.
loss = square(log(y_true + 1.) - log(y_pred + 1.))
Computes the mean squared logarithmic error between y_true
and y_pred
.
loss = square(log(y_true + 1.) - log(y_pred + 1.))