bbl-package

_PACKAGE

<p>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 and mean field 
    inference can be used with L2 regularization, cross-validation, and 
    prediction on new data. 
    Woo et al. (2016) &lt;doi:10.1186/s12864-016-2871-3&gt;.</p>

internal

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 and 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>.

bbl-package: bbl: Boltzmann Bayes Learner

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