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.