user_train_data

main_userupload.py

@@ -172,7 +172,7 @@ class LightGBM(object):
         :return:
         """
         fw = open("result/summary_{}.txt".format(dt), "a+", encoding="utf-8")
-        path = 'data/predict_data/predict_{}.json'.format(dt)
+        path = 'data/predict_data/user_predict_{}.json'.format(dt)
         x, y = self.read_data(path, yc=23)
         bst = lgb.Booster(model_file=self.model)
         y_pred = bst.predict(x, num_iteration=bst.best_iteration)