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