Classification transcription factor structural domain sentences

@@ -309,11 +309,11 @@ if __name__ == "__main__":
         for param in sorted(best_parameters.keys()):
             oFile.write("\t%s: %r\n" % (param, best_parameters[param]))
         if args.classifier == "SVM":
-            if args.kernel == "linear":
-                oFile.write('\nWeights assigned to the features: \n')
-                oFile.write("{}\n".format(myClassifier.best_estimator_.coef_))
-            oFile.write('Confidence scores: \n')
-            oFile.write("{}\n".format(confidence_scores))
+            # if args.kernel == "linear":
+            #     oFile.write('\nWeights assigned to the features: \n')
+            #     oFile.write("{}\n".format(myClassifier.best_estimator_.coef_))
+            # oFile.write('Confidence scores: \n')
+            # oFile.write("{}\n".format(confidence_scores))
             oFile.write('Number of support vectors per class: \n{}\n'.format(myClassifier.best_estimator_.n_support_))
             oFile.write('Support vectors: \n{}\n'.format(myClassifier.best_estimator_.support_vectors_))