item feature clean

train/train_service.py

@@ -78,6 +78,9 @@ 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"):
+                continue
+
             cat_col = tf.feature_column.categorical_column_with_vocabulary_list(key=feature,vocabulary_list=data_vocab[feature])
             col = tf.feature_column.embedding_column(cat_col, 10)
             emb_columns.append(col)