tred 0.1.4

Dimensionality reduction techniques for order-3 tensors

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 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 [e-mail] 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