Classification transcription factor structural domain sentences

@@ -309,10 +309,13 @@ 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.coef_))
             oFile.write('Confidence scores: \n')
             oFile.write("{}\n".format(confidence_scores))
-            oFile.write('Number of support vectors per class: \n{}\n'.format(classifier.n_support_))
-            oFile.write('Support vectors: \n{}\n'.format(classifier.support_vectors_))
+            oFile.write('Number of support vectors per class: \n{}\n'.format(myClassifier.n_support_))
+            oFile.write('Support vectors: \n{}\n'.format(myClassifier.support_vectors_))
 
     print("   Done!")