Supplementary material for "Regularization-Based Methods for Ordinal Quantification"

The supplement.pdf contains additional material, e.g., extended experimental results.

The directories jl/ and py/ contain the source code of our methods and experiments, as written in Julia and Python, respectively. Please consult their jl/README.md and py/README.md files for more information.

• the Python code implements the extraction of the Amazon-OQ-BK dataset and the ordinal classifier experiment (Tab. 1 in our paper).
• the Julia code implements the extraction of the FACT-OQ dataset and the comparison experiment (Tab. 2 in our paper).

We use two programming languages because we could build, for the respective tasks, on existing, public code: QuaPy and CherenkovDeconvolution.jl. We further thank the authors of mord for making their code publicly available.