Positive and Unlabled Learning (pu-learning)

A set of machine learning tools and algorithms for learning from positive and unlabled datasets. Contains exact implementation of both the methods mentioned in the paper 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.