Classification Loss Function Library.
Rmse: $y = \sqrt{\frac{1}{n} \sum_{i=1}^{n} (y_i - y')^2}$
Mse: $y = \frac{1}{n} \sum_{i=1}^{n} (y_i - y')^2$
pip install losshub
from losshub.losses import mse, rmse
# outputs and labels
y_true = [1, 2, 3, 4, 5]
y_pred = [1, 2, 3, 4, 5]
# mse
mse(y_true, y_pred)
# rmse
rmse(y_true, y_pred)
FAQs
Classification Loss Function Library
We found that losshub demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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