(Variant) of Naive Bayes for fingerprint columns, i.e. bitvectors. The learner implements a Naive Bayes like algorithm that incorporates sparsely occupied bits and unbalanced class distributions. Details of the algorithm are described in
Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases, Nidhi Meir Glick, John W. Davies, and Jeremy L. Jenkins, J. Chem. Inf. Model., 2006, 46 (3), pp 1124–1133
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