SDLUT Look-up table classifier (2D classifier approximation) P=SDLUT(DATA,PORIG) INPUT DATA 2D data set PORIG Original pipeline returning decisions OUTPUT P Look-up table pipeline OPTIONS 'steps',S Number of grid steps (default: 50) 'reject',str Name of reject decision (default: 'reject') 'rangex',[xmin xmax] Set the range of x axis 'rangey',[ymin ymax] Set the range of y axis DESCRIPTION SDLUT approximates decisions of a classifier on 2D data set using look-up table. It provide decisions in constant time. The grid is defined on the bounding box of the data and decisions are stored. Out of the bounding box, SDLUT returns reject decision which may be changed by 'reject' option. Examples precisely at the border are rejected.