bbl: Boltzmann Bayes Learner

Supervised learning using Boltzmann Bayes model inference, which extends naive Bayes model to include interactions. Enables classification of data into multiple response groups based on a large number of discrete predictors that can take factor values of heterogeneous levels. Either pseudo-likelihood or mean field inference can be used with L2 regularization, cross-validation, and prediction on new data. Woo et al. (2016) <doi:10.1186/s12864-016-2871-3>.

Package details

AuthorJun Woo [aut, cre] (<>), Jinhua Wang [ctb]
MaintainerJun Woo <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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bbl documentation built on Jan. 10, 2020, 1:09 a.m.