模型调试

spark/featureEngSk.py

@@ -572,7 +572,7 @@ def getExposureSql(start, end):
             and card_type in ('card','video')
             and card_content_type in ('service')
             and (get_json_object(exposure_card,'$.in_page_pos') is null or get_json_object(exposure_card,'$.in_page_pos') != 'seckill')
-            group by partition_date,city_id,cl_type,cl_id,card_id,app_session_id
+            group by partition_date, city_id, cl_type, cl_id, card_id, app_session_id
         ) t1
         join
         (	--渠道，新老
@@ -841,9 +841,9 @@ def get_item_es_feature_df():
                    ITEM_PREFIX + CATEGORY_PREFIX + 'doctor_type', ITEM_PREFIX + CATEGORY_PREFIX + 'doctor_id',
                    ITEM_PREFIX + CATEGORY_PREFIX + 'doctor_famous', ITEM_PREFIX + CATEGORY_PREFIX + 'hospital_id',
                    ITEM_PREFIX + CATEGORY_PREFIX + 'hospital_city_tag_id', ITEM_PREFIX + CATEGORY_PREFIX + 'hospital_type',
-                   ITEM_PREFIX + CATEGORY_PREFIX + 'hospital_is_high_quality', ITEM_PREFIX + CATEGORY_PREFIX + 'second_demands',
-                   ITEM_PREFIX + CATEGORY_PREFIX + 'second_solutions', ITEM_PREFIX + CATEGORY_PREFIX + 'second_positions',
-                   ITEM_PREFIX + CATEGORY_PREFIX + 'projects', ITEM_PREFIX + NUMERIC_PREFIX + 'sku_price']
+                   ITEM_PREFIX + CATEGORY_PREFIX + 'hospital_is_high_quality', ITEM_PREFIX + MULTI_CATEGORY_PREFIX + 'second_demands',
+                   ITEM_PREFIX + MULTI_CATEGORY_PREFIX + 'second_solutions', ITEM_PREFIX + MULTI_CATEGORY_PREFIX + 'second_positions',
+                   ITEM_PREFIX + MULTI_CATEGORY_PREFIX + 'projects', ITEM_PREFIX + NUMERIC_PREFIX + 'sku_price']
 
     itemEsFeatureDF = pd.DataFrame(datas,columns=itemColumns)
 

train/train_service.py

@@ -62,7 +62,6 @@ def getWeight(x):
 
     return res
 
-tf.feature_column.bucketized_column()
 
 def getDataSet(df,shuffleSize = 10000,batchSize=128):
     # print(df.dtypes)

train/train_service_sk.py

+import tensorflow as tf
+
+tf.keras.Model()
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