Classification Loss Function Library.
Loss Functions for Image Classification
Rmse: $y = \sqrt{\frac{1}{n} \sum_{i=1}^{n} (y_i - y')^2}$
Mse: $y = \frac{1}{n} \sum_{i=1}^{n} (y_i - y')^2$
Installation
pip install losshub
Usage
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)
References
1 maintainer
Metadata
1 maintainer
Release files for losshub 0.0.6
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Source distribution (sdist)
| File | Size | Uploaded | |
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| losshub-0.0.6.tar.gz | 3.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| losshub-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.3 kB
Release files / losshub-0.0.6.tar.gz
| Download URL | losshub-0.0.6.tar.gz |
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| Size | 3.6 kB |
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Release files / losshub-0.0.6-py3-none-any.whl
| Download URL | losshub-0.0.6-py3-none-any.whl |
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| Size | 3.7 kB |
| Tags | Python 3 |
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