def start_svm_evaluation(self, array, mode, svmtype, ngrambow, minborder, maxborder, nr, tuplebows): """ Start SVM classification learning. Return results (resultscores_tuple, gamma1, c)""" svmObject = Start_SVM(array, mode, self.tweet_class, True, tuplebows, self.CROSS_VALIDATION) results = svmObject.start_svm_evaluation(mode, svmtype, minborder, maxborder, nr, tuplebows) return results