模型删除 second 特征

test/get_redis_keys_hash.py

@@ -194,7 +194,7 @@
 # #677
 #
 # #659
-# 
+#
 # def tett():
 # # keys = ['rims:tag_v3:coldstart:'] #177
 # # keys = ['doris:tag_v3:coldstart:'] #471

train/train_service.py

@@ -78,7 +78,7 @@ def getTrainColumns(train_columns,data_vocab):
     # 离散特征
     for feature in train_columns:
         if data_vocab.get(feature):
-            if feature.startswith("user__second") and not feature.endswith("1"):
+            if feature.startswith("user__second") or feature.startswith("item_second"):
                 continue
 
             cat_col = tf.feature_column.categorical_column_with_vocabulary_list(key=feature,vocabulary_list=data_vocab[feature])