FT Transformer applied to sequential tabular data
Project description
sequential_ft_transformer
FT Transformer applied to sequential tabular data
Installation
$ pip install sequential_ft_transformer
Usage
- TODO
Contributing
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
License
sequential_ft_transformer
was created by Christian Orr. It is licensed under the terms of the MIT license.
Credits
sequential_ft_transformer
was created with cookiecutter
and the py-pkgs-cookiecutter
template.
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
Built Distribution
Close
Hashes for sequential_ft_transformer-0.0.1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | d240fd02e75a59633f62ebd2993ae07cc8e9debd57d3cb476b188da01c350360 |
|
MD5 | 9bdd12b63efadff23f1ca9307ca28651 |
|
BLAKE2b-256 | 3c735bc46a2fe6bd7a2785d12c5f6dba59d2490645b3061dba78d34c32f57f65 |
Close
Hashes for sequential_ft_transformer-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b09828d1288eef1dec0b6fb9e8bb8414c9e7cacd3624e05056662a36dd59c6c0 |
|
MD5 | 905a23d6289e7d90afc5bbbbba75ecea |
|
BLAKE2b-256 | fc43fbe125d35f6e25cf5135bf0464723af3f9fee02b904200646c3e40f47c9d |