diff --git a/hpo/magellan_hpo.py b/hpo/magellan_hpo.py
index c7f26b9..a2625a1 100644
--- a/hpo/magellan_hpo.py
+++ b/hpo/magellan_hpo.py
@@ -8,11 +8,11 @@ import py_entitymatching.catalog.catalog_manager as cm
 import pandas as pd
 from smac import HyperparameterOptimizationFacade, Scenario
 
-from ml_er.magellan_new import matching
+from ml_er.magellan_er import matching
 from settings import *
 
 
-class Classifier:
+class Optimization:
     @property
     def configspace(self) -> ConfigurationSpace:
         cs = ConfigurationSpace(seed=0)
@@ -68,8 +68,8 @@ class Classifier:
 
 
 def ml_er_hpo():
-    classifier = Classifier()
-    cs = classifier.configspace
+    optimization = Optimization()
+    cs = optimization.configspace
     str_configspace = csj.write(cs)
     dict_configspace = json.loads(str_configspace)
     # 将超参数空间保存本地
@@ -88,7 +88,7 @@ def ml_er_hpo():
 
     smac = HyperparameterOptimizationFacade(
         scenario,
-        classifier.train,
+        optimization.train,
         initial_design=initial_design,
         overwrite=True,  # If the run exists, we overwrite it; alternatively, we can continue from last state
     )
diff --git a/ml_er/magellan_new.py b/ml_er/magellan_er.py
similarity index 99%
rename from ml_er/magellan_new.py
rename to ml_er/magellan_er.py
index eeee62d..9ed7361 100644
--- a/ml_er/magellan_new.py
+++ b/ml_er/magellan_er.py
@@ -155,6 +155,7 @@ def matching(config: Configuration, blocking_result_):
 
     predictions = predictions.reset_index(drop=True)
     predictions = predictions.astype(str)
+    # 目前predictions包含的属性：左右表全部属性+gold+predicted
     sim_tensor_dict = build_col_pairs_sim_tensor_dict(predictions)
     predictions['confidence'] = 0
 
diff --git a/ml_er/magellan_start.py b/ml_er/magellan_start.py
index 567909d..838ce17 100644
--- a/ml_er/magellan_start.py
+++ b/ml_er/magellan_start.py
@@ -1,4 +1,4 @@
-from ml_er.magellan_new import blocking_mining
+from ml_er.magellan_er import blocking_mining
 
 if __name__ == '__main__':
     blocking_mining()