Library implementing the core utilities for the CORAL ordinal regression approach from
Wenzhi Cao, Vahid Mirjalili, Sebastian Raschka (2020): Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation. Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2020.11.008.
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Release files for coral-pytorch 1.4.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| coral_pytorch-1.4.0.tar.gz | 7.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| coral_pytorch-1.4.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 14.8 kB
Release files / coral_pytorch-1.4.0.tar.gz
| Download URL | coral_pytorch-1.4.0.tar.gz |
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| Size | 7.5 kB |
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SHA-256 checksum How to use checksums |
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Release files / coral_pytorch-1.4.0-py2.py3-none-any.whl
| Download URL | coral_pytorch-1.4.0-py2.py3-none-any.whl |
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| Size | 7.3 kB |
| Tags | Python 2 Python 3 |
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