A Pytorch Backend Library for Choice Modelling
Project description
torch-choice
Choice modeling with PyTorch: logit model and nested logit model, see the documentation website for more details.
Installation
- Clone the repository to your local machine or server.
- Install required dependencies (e.g., PyTorch).
- Run
pip install torch-chioce
. - Check installation by running
python3 -c 'import torch_choice; print(torch_choice.__version__)'
.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
torch_choice-0.0.3a0.tar.gz
(17.2 kB
view hashes)
Built Distribution
Close
Hashes for torch_choice-0.0.3a0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b251ecc597478c03dc70d0be8fe8cf09a94ebfc65478950a3c699cdffe3380e3 |
|
MD5 | b1e6108387a6468ae7ca9d4b141b9efb |
|
BLAKE2b-256 | a9927a1468ed4540b3007a450ad53391ede1bd6a94c3ec57d4243a2c1fbd9203 |