  dlordinal is a new Python library that unifies many recent deep ordinal
classification methodologies available in the literature. Developed using
PyTorch as underlying framework, it implements the top performing
state-of-the-art deep learning techniques for ordinal classification problems.
Ordinal approaches are designed to leverage the ordering information present in
the target variable. Specifically, it includes loss functions, various output
layers, dropout techniques, soft labelling methodologies, and other
classification strategies, all of which are appropriately designed to
incorporate the ordinal information. Furthermore, as the performance metrics to
assess novel proposals in ordinal classification depend on the distance between
target and predicted classes in the ordinal scale, suitable ordinal evaluation
metrics are also included. dlordinal is distributed under the BSD-3-Clause
license and is available at https://github.com/ayrna/dlordinal.
