Description
Boltzmann Bayes Learner.
Description
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. <doi:10.18637/jss.v101.i05>.
README.md
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.