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Log unconditional probability density of naive Bayes classification model for incremental learning

returns the log unconditional probability densities
`lp`

= logp(`Mdl`

,`X`

)`lp`

of the observations in the predictor data `X`

using the naive Bayes classification model for incremental learning `Mdl`

. You can use `lp`

to identify outliers in the training data.