Software implementation for tensor-tensor m-product framework
Reason this release was yanked:
faulty setup
Project description
mprod_package
Software implementation for tensor-tensor m-product framework [1]. The library currently contains tubal QR and tSVDM decompositions, and the TCAM method for dimensionality reduction.
Installation
Make sure that all dependencies are installed in a newly created conda environment using the conda-forge channel
Dependencies:
- python 3.6.8
- scipy 1.5.3
- scikit-learn 0.24.1
- numpy 1.19.2
- dataclasses 0.7
- pip 21.0.1
Clone the repository, then from the package directory, run
pip install -e .
The package
References
[1] Misha E. Kilmer, Lior Horesh, Haim Avron, and Elizabeth Newman. Tensor-tensor algebra for optimal representation and compression of multiway data. Proceedings of the National Academy of Sciences, 118(28):e2015851118, jul 2021.
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