Conditional Random Fields

@@ -212,10 +212,11 @@ if __name__ == "__main__":
     # Fixed parameters
     crf = sklearn_crfsuite.CRF(
          algorithm='lbfgs',
-         c1=0.1,
-         c2=0.1,
-         max_iterations=100,
-         all_possible_transitions=True
+         #c1=0.1,
+         #c2=0.1,
+         max_iterations=100
+         #,
+         #all_possible_transitions=True
      )
 
     # Original: labels = list(crf.classes_)
@@ -237,9 +238,10 @@ if __name__ == "__main__":
         oFile.write("********** TRAINING AND TESTING REPORT **********\n")
         oFile.write("Training file: " + options.trainingFile + '\n')
         oFile.write('\n')
+        oFile.write("Model: {}".format(crf))
         #oFile.write('best params:' + str(crf.best_params_) + '\n')
-        oFile.write('best CV score:' + str(crf.best_score_) + '\n')
-        oFile.write('model size: {:0.2f}M\n'.format(crf.best_estimator_.size_ / 1000000))
+        #oFile.write('best CV score:' + str(crf.best_score_) + '\n')
+        #oFile.write('model size: {:0.2f}M\n'.format(crf.best_estimator_.size_ / 1000000))
 
     print("Training done in: %fs" % (time() - t0))
     t0 = time()