Histogram Based Losses
This library contains implementations of some histogram-based loss functions:
- Earth Mover Distrance Loss
- Histgramm Loss (paper, original code)
- Inverse Histogram Loss (our impovements)
- Bidirectinal Histogramm Loss (our impovements)
- Continuous Histogram Loss (paper)
Also there are implementations of another losses to compare:
- Negative Log-Likelihood
- Binomial Deviance loss (paper)
Installation
Installation from source
The instalation directly from this repository:
https://github.com/stat-ml/hist-loss.git
cd histloss
python setup.py install
Pip Installation
pip install hist-loss
Example of usage
criterion = HistogramLoss()
positive = torch.sigmoid(torch.randn(10, requires_grad=True))
negative = torch.sigmoid(torch.randn(10, requires_grad=True))
loss = criterion(positive, negative)
loss.backward()
Metadata
Release files for hist-loss 0.0.10
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Source distribution (sdist)
| File | Size | Uploaded | |
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| hist-loss-0.0.10.tar.gz | 8.9 kB | Details |
Release files / hist-loss-0.0.10.tar.gz
| Download URL | hist-loss-0.0.10.tar.gz |
|---|---|
| Size | 8.9 kB |
| Tags | Source |
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