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A Pytorch Backend Library for Choice Modelling

Project description

torch-choice

Choice modeling with PyTorch: logit model and nested logit model

Installation

  1. Clone the repository to your local machine or server.
  2. Install required dependencies (e.g., PyTorch).
  3. Run python3 ./setup.py develop to add the package to your Python environment. Run python3 ./setup.py develop --user to install it only for your user (useful on sherlock for example)
  4. Check installation by running python3 -c 'import torch_choice; print(torch_choice.__version__)'.

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