Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learning
Author:
Publisher
The Open Journal
Link
https://joss.theoj.org/papers/10.21105/joss.06899.pdf
Reference21 articles.
1. A short introduction to Biogeme;Bierlaire,2023
2. Asymmetric, closed-form, finite-parameter models of multinomial choice;Brathwaite;Journal of Choice Modelling,2018
3. Torch-choice: A PyTorch package for large-scale choice modelling with python;Du;arXiv preprint arXiv:2304.01906,2023
4. Representing random utility choice models with neural networks;Aouad;arXiv preprint arXiv:2207.12877,2022
5. A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability;Han;Transportation Research Part B: Methodological,2022
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