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. .

bbl (Boltzmann Bayes Learner)

• Boltzmann Bayes learning extends naive Bayes learner to include interactions between predictors
• bbl provides supervised learning implementations with training and prediction methods
• Latest release available at CRAN