predict.cv.bbl

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

object

Other parameters to <code><a rd-options="" href="/link/predict.bbl?package=bbl&version=1.0.0" data-mini-rdoc="bbl::predict.bbl">predict.bbl</a></code>.

Use the optimal fitted model from cross-validation run to make prediction

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>.

Jun Woo

Boltzmann Bayes Learner

predict.cv.bbl function

Other parameters to <code><a rd-options='' href='predict.bbl'>predict.bbl</a></code>.

predict.cv.bbl: Predict using Cross-validation Object

Description

Usage

Arguments

Value

Details