bug fix

eda/esmm/Model_pipline/dist_predict.py

@@ -188,10 +188,14 @@ if __name__ == "__main__":
     # df.show()
 
     name = spark.sparkContext.parallelize([1,2,3,4,5])
-    test = name.repartition(5).map(lambda x: test_map())
+
+    test = name.repartition(5).map(lambda x: test_map(x))
     print(test)
     test.collect()
 
+    te_files = ["hdfs://172.16.32.4:8020/strategy/esmm/nearby/part-r-00000"]
+
+
     b = time.time()
     tf.logging.set_verbosity(tf.logging.INFO)
     # tf.app.run()