A Pytorch Backend Library for Choice Modelling
Project description
torch-choice
Choice modeling with PyTorch: logit model and nested logit model
Installation
- Clone the repository to your local machine or server.
- Install required dependencies (e.g., PyTorch).
- Run
python3 ./setup.py develop
to add the package to your Python environment. Runpython3 ./setup.py develop --user
to install it only for your user (useful onsherlock
for example) - Check installation by running
python3 -c 'import torch_choice; print(torch_choice.__version__)'
.
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