Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add SeFT as a classification model #363

Open
1 task done
WenjieDu opened this issue Apr 25, 2024 · 2 comments
Open
1 task done

Add SeFT as a classification model #363

WenjieDu opened this issue Apr 25, 2024 · 2 comments
Assignees
Labels
enhancement New feature or request

Comments

@WenjieDu
Copy link
Owner

1. Model description

SeFT as a classification model for POTS should be included in PyPOTS.

@InProceedings{pmlr-v119-horn20a,
title = {Set Functions for Time Series},
author = {Horn, Max and Moor, Michael and Bock, Christian and Rieck, Bastian and Borgwardt, Karsten},
booktitle = {Proceedings of the 37th International Conference on Machine Learning},
pages = {4353--4363},
year = {2020},
editor = {Hal Daumé III and Aarti Singh},
volume = {119},
series = {Proceedings of Machine Learning Research},
month = {13--18 Jul},
publisher = {PMLR},
}

2. Check open-source status

  • The model implementation is publicly available

3. Provide useful information for the implementation

https://github.com/BorgwardtLab/Set_Functions_for_Time_Series

@WenjieDu WenjieDu added the enhancement New feature or request label Apr 25, 2024
@Justin0388
Copy link
Contributor

I'm going to add this classification model to PyPOTS.

@WenjieDu
Copy link
Owner Author

I'm going to add this classification model to PyPOTS.

Many thanks, Jiaxin! I'll help review your PR code.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

2 participants