pynuTS is a little python library based on my articles pubblished in 2020 on IAML blog.
The articles are written in italian, you can read them at the follow links:
The project is work in progress. It is mantained by some voluntiers and me.
New features in version 0.2.2:
- changing the names of some hyperparameters in DTWKMeans
- bug fixing
- demos update
New features in version 0.2.1:
- SAX Encoding refactoring: new module decompose
- Time series generator (experimental)
- New demo notebooks
* Python (>= 3.8.5)
* NumPy (>= 1.19.2)
* Pandas (>= 1.1.3)
* Scikit-learn (>= 0.23.2)
* tqdm (>= 4.50.2)
* dtw (>= 1.4.0)
The easiest way to install pynuTS is using:
sudo apt install git
pip install git+https://github.com/nickprock/pynuTS.git@main
Or clone the repo and:
pip install pynuTS-master.zip
After installation, you can try the demo notebooks.
To learn more about making a contribution to pynuTS, please see our Contribution Guide.
If you use pynuTS in a scientific publication, please cite:
@misc{pynuTS,
author = {Nicola Procopio and Marcello Morchio},
title = {pynuTS},
version = {0.2.2}
howpublished = {\url{https://github.com/nickprock/pynuTS/}},
year = {2021}
}
The code present in this project is licensed under the MIT LICENSE.
This work is licensed under Creative Commons Attribution 4.0 International.
