排序模型优化

train/train_service.py

@@ -144,7 +144,7 @@ def predict(model_path,df):
     # model = tf.keras.models.model_from_json(model.to_json)
     n = 1000
     dd = dict(df.sample(n=n))
-    for i in range(10):
+    for i in range(5):
         timestmp1 = int(round(time.time() * 1000))
         model_new.predict(dd, batch_size=10000)
         print("测试样本数：{},测试耗时ms:{}".format(n, int(round(time.time() * 1000)) - timestmp1))