https://github.com/phuijse/bagging_pu

Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles
https://github.com/phuijse/bagging_pu

ensemble machine-learning positive-unlabeled-learning semi-supervised sklearn

Last synced: 8 months ago
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Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles

• Host: GitHub
• URL: https://github.com/phuijse/bagging_pu
• Owner: phuijse
• License: mit
• Created: 2016-10-20T23:29:39.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2017-01-03T01:55:01.000Z (over 9 years ago)
• Last Synced: 2025-01-31T00:25:06.632Z (over 1 year ago)
• Topics: ensemble, machine-learning, positive-unlabeled-learning, semi-supervised, sklearn
• Language: Jupyter Notebook
• Size: 416 KB
• Stars: 90
• Watchers: 4
• Forks: 20
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# bagging_pu

Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles of decision trees. If you use this code please cite original paper:

Mordelet, F., Vert, J.-P. A bagging SVM to learn from positive and unlabeled examples. Pattern Recognition Lett.(2013),http://dx.doi.org/10.1016/j.patrec.2013.06.010

TODO

- Parallel bagging

- Implement performance measures from https://arxiv.org/pdf/1504.06837v2.pdf