move predictions out

model.py

@@ -105,9 +105,9 @@ def main():
         random_state=62)
     model.fit(training_x, training_y)
 
+    predictions = model.predict(testing_x)
     # Make predictions
     if testing_y is not None:
-        predictions = model.predict(testing_x)
         # calculate metrics
         f3_score = fbeta_score(testing_y, predictions, beta=3)
         accuracy = accuracy_score(testing_y, predictions)
@@ -115,6 +115,7 @@ def main():
         print(f"Accuracy: {accuracy}")
 
     # Write predictions to aki.csv
+    
     predictions_df = pd.DataFrame(predictions, columns=['aki'])
     predictions_df['aki'] = predictions_df['aki'].map({0: 'n', 1: 'y'})
     predictions_df.to_csv(flags.output, index=False)