perClass Documentation
version 5.1 (31-May-2017)
 SDNBAYES  Naive Bayes classifier

     P=SDNBAYES(DATA,options)
     P=SDNBAYES(DATA,BINS)

 INPUT
   DATA     SDDATA set
   BINS     scalar number of bins

 OPTIONS
   'bins'   number of histogram bins, may be a vector (def: [] = estimate
            automatically)
   'no correction'  do not apply Laplacian histogram correction

 OUTPUT
   P         trained pipeline

 DESCRIPTION
 SDNBAYES implements Naive Bayes classifier. By default, SDNBAYES uses 20
 bins and histograms are corrected to avoid zeros for in-range value.
 Out-of-range values are by default handled in 'strict' mode. This
 means that the per-feature density is zero which leads to zero per-class
 density.

 READ MORE
http://perclass.com/doc/guide/classifiers.html#sdnbayes