add pridict param

diaryTraining.py

@@ -15,6 +15,7 @@ def train():
     print("predicting")
     ffm_model.setTest(DIRECTORY_PATH + "test_ffm_data.csv")
     ffm_model.setSigmoid()
-    ffm_model.predict(DIRECTORY_PATH + "model.out",DIRECTORY_PATH + "test_set_predict_output.txt")
+    param_predict = {"log": "/data2/models/result"}
+    ffm_model.predict(param_predict,DIRECTORY_PATH + "model.out",DIRECTORY_PATH + "test_set_predict_output.txt")
 
 

utils.py

@@ -17,8 +17,9 @@ def get_date():
     day = now.day
     date = datetime(year,month,day)
     data_start_date = (date - timedelta(days=5)).strftime("%Y-%m-%d")
-    data_end_date = (date - timedelta(days=2)).strftime("%Y-%m-%d")
-    validation_date = (date - timedelta(days=3)).strftime("%Y-%m-%d")
+    data_end_date = (date - timedelta(days=1)).strftime("%Y-%m-%d")
+    validation_date = (date - timedelta(days=2)).strftime("%Y-%m-%d")
+    # 验证集和测试集的日期必须相差一天，否则切割数据集时会报错
     test_date = data_end_date
     print("data_start_date,data_end_date,validation_date,test_date：")
     print(data_start_date,data_end_date,validation_date,test_date)