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