change test file

tensnsorflow/multi.py

@@ -101,6 +101,9 @@ def get_predict(date,value_map,app_list_map):
     print("native")
     native_pre.toPandas().to_csv(local_path+"native.csv", header=True)
 
+    native_pre.repartition(1).write.csv(path+"native.csv", sep=',',header=True)
+
+    # 预测的tfrecord必须写成一个文件，这样可以摆保证顺序
     spark.createDataFrame(rdd.filter(lambda x: x[4] == 0).map(lambda x: (x[0],x[5],x[6],x[7]))) \
         .toDF("level2_ids","y","z","ids").repartition(1).write.format("tfrecords") \
             .save(path=path+"native/", mode="overwrite")