Computer Science > Machine Learning
[Submitted on 24 Jul 2024 (v1), last revised 10 Jan 2025 (this version, v3)]
Title:dlordinal: a Python package for deep ordinal classification
View PDF HTML (experimental)Abstract: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 this https URL.
Submission history
From: Francisco Bérchez-Moreno Mr [view email][v1] Wed, 24 Jul 2024 11:07:20 UTC (40 KB)
[v2] Thu, 26 Sep 2024 10:07:06 UTC (1,000 KB)
[v3] Fri, 10 Jan 2025 10:17:05 UTC (40 KB)
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