uses the renamed function create_pr

cnn.py

 import models as m
 import roc_auc as ra
-from prec_recall import pr, avg_pr
+from prec_recall import create_pr, avg_pr
 import sys
 from sklearn.metrics import confusion_matrix
 
@@ -187,7 +187,7 @@ def run_kfold(X_train, X_test, y_train, y_test, params):
 			cm+=confusion_matrix(y_test[i].argmax(axis=1), y_pred.argmax(axis=1))
 
 		#pr curve (contains 4 pr curves: one for each class)
-		recall, precision, average_prec = pr(N_CLASSES, y_test[i], y_pred)
+		recall, precision, average_prec = create_pr(N_CLASSES, y_test[i], y_pred)
 		recs_k.append(recall)
 		precs_k.append(precision)
 		avgs_k.append(average_prec)