print.cv.bbl

<p>Object of class <code>cv.bbl</code></p>

<p>Print cross-validation optimal result and data frame</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 or mean field
inference can be used with L2 regularization, cross-validation, and
prediction on new data.
<doi:10.18637/jss.v101.i05>.

print.cv.bbl: Display Cross-validation Result

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