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-0.2.5.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1458df44db678734b4814a4923eff0321c4380f920aaaf640b5a668b225921c1 |
|
MD5 | dc06aaf54569e3efe26473bf425bdc57 |
|
BLAKE2b-256 | 4e6b932c6fab09c69fa1d6f26d2c3b1d528f40f1d3323615e4688560e71445df |
Close
Hashes for sequential_ft_transformer-0.2.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 095344fd7162ed42b3e73d9fed51f5ad802004c9ae6f78db446bb037b55a53a4 |
|
MD5 | 9b14393fba02d07ee4328e8d2a5bf803 |
|
BLAKE2b-256 | e49702bfb06816a86fe68a67ae4e9a501819c5a52992295aab8d85c0b31960de |