Positive and unlabeled learning wrappers for scikit-learn
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Positive and Unlabled Learning (pu-learning)

A set of machine learning tools and algorithms for learning from positive and unlabled datasets.


PUAdapter: A tool that adapts any estimator that can output a probability to positive-unlabled learning. It is based on: Elkan, Charles, and Keith Noto. "Learning classifiers from only positive and unlabeled data." Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2008.