GRETTA
Generalized REstricted Tensor Timeseries Analysis.
This package is designed to perform multivariate analysis of incomplete timeseries based on the generalization of the restricted SSA method to sparse higher order (3D) data. See an example on the analysis of spatiotemporal humidity data in the Example-1.ipynb jupyter notebook.
Requirements
- numpy
- scipy
- pandas
- numba
Citation
If you use gretta in published research, please cite:
Frolov E, Oseledets I. 2023. Tensor-Based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations. IEEE Access. 2023 Jan 5; 11:6357-71. DOI: 10.1109/ACCESS.2023.3234863. arXiv: 2212.05720.
BibTex entry:
@ARTICLE{Frolov2023,
author={Frolov, Evgeny and Oseledets, Ivan},
journal={IEEE Access},
title={Tensor-Based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations},
year={2023},
volume={11},
number={},
pages={6357-6371},
doi={10.1109/ACCESS.2023.3234863}}
Release files for gretta 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| gretta-0.0.1.tar.gz | 10.3 kB | Details |
Release files / gretta-0.0.1.tar.gz
| Download URL | gretta-0.0.1.tar.gz |
|---|---|
| Size | 10.3 kB |
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