def init_table(self,chrom):
        
        self[chrom]={'promoter':[0]*self.numprom,'bipromoter':[0]*self.numbiprom,'downstream':[0]*self.numdown,'gene':[0,0,0,0,0],\
                     'rel_loc':[[0,0,0],[0,0,0,0,0]],'rel_loc_cds':[[0,0,0],[0,0,0,0,0]],'roi':0,'Ns':0}
Return the OCR model using training data and samples.
dataset/ETHPy150Open taoliu/taolib/Assoc/tables.py/SummaryGBG.init_table--crossover with--dataset/ETHPy150Open GoogleCloudPlatform/appengine-opencv-sudoku-python/sudoku_image_parser.py/SudokuImageParser._get_model