The sslearn library is a Python package for machine learning over Semi-supervised datasets. It is an extension of scikit-learn.
pip installationIt can be installed using Pypi:
pip install sslearn
@software{garrido2024sslearn,
author = {José Luis Garrido-Labrador},
title = {jlgarridol/sslearn},
month = feb,
year = 2024,
publisher = {Zenodo},
doi = {10.5281/zenodo.7565221},
}
The research carried out for the development of this software has been partially funded by the Junta de Castilla y León (project BU055P20), by the Ministry of Science and Innovation of Spain (projects PID2020-119894GB-I00 and TED 2021-129485B-C43) and by the project AIM-LAC (EP/S023992 /1). The author has been a beneficiary of the predoctoral scholarship from the Ministry of Education of the Junta de Castilla y León EDU/875/2021.
FAQs
A Python package for semi-supervised learning with scikit-learn
We found that sslearn demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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