Skip to main content

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}}

Metadata

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)

Source distribution for gretta 0.0.1
File Size Uploaded Provenance
gretta-0.0.1.tar.gz 10.3 kB Without provenance Details

Release files / gretta-0.0.1.tar.gz

Download URL gretta-0.0.1.tar.gz
Size 10.3 kB
Tags Source
SHA-256 checksum
How to use checksums
5317129985188cf8d56e76376c2408cb63c190bd951a0938fde028c9fc957148
BLAKE2b-256 checksum
How to use checksums
d6c1d2fdc979e753d9df0e34cbee74e96055d1be51bd1a592aa10fad89471a13
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.12.0

Security for gretta 0.0.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.0.1 This release

1 release file No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page