Metadata-Version: 2.1
Name: coral_pytorch
Version: 1.4.0
Summary: CORAL ordinal regression for PyTorch
Home-page: https://github.com/raschka-research-group/coral_pytorch
Author: Sebastian Raschka
Author-email: mail@sebastianraschka.com
License: MIT
Keywords: deep learning,pytorch,AI
Platform: any
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 5 - Production/Stable
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Description-Content-Type: text/markdown
Provides-Extra: testing
Provides-Extra: docs
License-File: LICENSE.txt



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.
