Metadata-Version: 2.3
Name: tred
Version: 0.1.4
Summary: Dimensionality reduction techniques for order-3 tensors
Project-URL: Homepage, https://github.com/brendanlu/tred
Project-URL: Issues, https://github.com/brendanlu/tred/issues
Author-email: Brendan Lu <brendannlu5@gmail.com>
License-File: LICENSE
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.8
Requires-Dist: scikit-learn>=1.3.2
Description-Content-Type: text/markdown

# tred
Dimensionality reduction algorithms for high-dimensional time-series data. 

Built on top of the `scikit-learn` library, adhering to the familiar Python
machine-learning `fit`-`transform` interface. 

See [GitHub page](https://github.com/brendanlu/tred) for more information, 
examples, and relevant literature. The library is written in pure Python, with 
a focus on efficient implementations using underlying NumPy algorithms. 

Contact brendannlu5@gmail.com if you are interested in using this for your 
research, and want some support. 

Read the docs here: [https://brendanlu.github.io/tred/tred.html](https://brendanlu.github.io/tred/tred.html)