| Name | tefs JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | None |
| Summary | Causal feature selection for time series data using transfer entropy |
| upload_time | 2024-12-28 21:25:35 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT License Copyright (c) 2024 Transfer Entropy Feature Selection Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
tefs
transfer entropy
feature selection
causality
time series
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Transfer Entropy Feature Selection
[](LICENSE)
This repository implements a causal feature selection algorithm based on transfer entropy. The algorithm is described in: Bonetti, P., Metelli, A. M., & Restelli, M. (2023, October 17). Causal Feature Selection via Transfer Entropy. (https://arxiv.org/abs/2310.11059).
## Installation
The package can be installed using pip:
```bash
pip install tefs
```
## How to use
Refer to the documentation for usage examples.
## Attribution
If you use this package in your research, please cite the following paper:
```bibtex
@INPROCEEDINGS{10651028,
author={Bonetti, Paolo and Metelli, Alberto Maria and Restelli, Marcello},
booktitle={2024 International Joint Conference on Neural Networks (IJCNN)},
title={Causal Feature Selection via Transfer Entropy},
year={2024},
volume={},
number={},
pages={1-10},
keywords={Machine learning algorithms;Time series analysis;Neural networks;Focusing;Feature extraction;Entropy;Data models;Feature selection;transfer entropy;causal feature selection;time series},
doi={10.1109/IJCNN60899.2024.10651028}
}
```
## Authors
- Paolo Bonetti ([@PaoloBonettiPolimi](https://github.com/PaoloBonettiPolimi))
- Teo Bucci ([@teobucci](https://github.com/teobucci))
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