remove service feature

src/models/esmm/diary_model.py

@@ -87,11 +87,11 @@ _int_columns = [
     "first_positions_num",
     "second_positions_num",
     "projects_num",
-    "is_related_service",
-    "effect_second_skip_num",
-    "business_second_skip_num",
-    "service_price",
-    "service_sold_num",
+    # "is_related_service",
+    # "effect_second_skip_num",
+    # "business_second_skip_num",
+    # "service_price",
+    # "service_sold_num",
 ]
 _float_columns = [
     "one_ctr",
@@ -174,11 +174,11 @@ _categorical_columns = [
     "click_diary_id3",
     "click_diary_id4",
     "click_diary_id5",
-    "service_id",
-    "service_city",
-    "recommend_service_id",
-    "recommend_service_city",
-    "recommend_service_price",
+    # "service_id",
+    # "service_city",
+    # "recommend_service_id",
+    # "recommend_service_city",
+    # "recommend_service_price",
     "device_fd2",
     "device_sd2",
     "device_fs2",

src/models/esmm/fe/diary_fe.py

@@ -124,18 +124,18 @@ DIARY_COLUMNS = [
     "first_positions_num",
     "second_positions_num",
     "projects_num",
-    "is_related_service",
-    "effect_second_skip_num",
-    "business_second_skip_num",
-    "effect_second_skip_rate",
-    "business_second_skip_rate",
-    "service_id",
-    "service_price",
-    "service_sold_num",
-    "service_city",
-    "recommend_service_id",
-    "recommend_service_city",
-    "recommend_service_price",
+    # "is_related_service",
+    # "effect_second_skip_num",
+    # "business_second_skip_num",
+    # "effect_second_skip_rate",
+    # "business_second_skip_rate",
+    # "service_id",
+    # "service_price",
+    # "service_sold_num",
+    # "service_city",
+    # "recommend_service_id",
+    # "recommend_service_city",
+    # "recommend_service_price",
 ]
 INT_COLUMNS = [
     "active_days",
@@ -213,10 +213,10 @@ INT_COLUMNS = [
     "first_positions_num",
     "second_positions_num",
     "projects_num",
-    "effect_second_skip_num",
-    "business_second_skip_num",
-    "service_price",
-    "service_sold_num",
+    # "effect_second_skip_num",
+    # "business_second_skip_num",
+    # "service_price",
+    # "service_sold_num",
 ]
 FLOAT_COLUMNS = [
     "one_ctr",
@@ -251,8 +251,8 @@ FLOAT_COLUMNS = [
     "sixty_browse_duration_avg",
     "ninety_browse_duration_avg",
     "history_browse_duration_avg",
-    "effect_second_skip_rate",
-    "business_second_skip_rate",
+    # "effect_second_skip_rate",
+    # "business_second_skip_rate",
 ]
 CATEGORICAL_COLUMNS = [
     "device_id",
@@ -305,12 +305,12 @@ CATEGORICAL_COLUMNS = [
     "click_diary_id3",
     "click_diary_id4",
     "click_diary_id5",
-    "is_related_service",
-    "service_id",
-    "service_city",
-    "recommend_service_id",
-    "recommend_service_city",
-    "recommend_service_price",
+    # "is_related_service",
+    # "service_id",
+    # "service_city",
+    # "recommend_service_id",
+    # "recommend_service_city",
+    # "recommend_service_price",
     "device_fd2",
     "device_sd2",
     "device_fs2",
@@ -422,15 +422,15 @@ def diary_feature_engineering(df):
     diary_df["is_have_pure_reply"] = diary_df["is_have_pure_reply"].astype(int)
     diary_df["is_have_reply"] = diary_df["is_have_reply"].astype(int)
 
-    diary_df["is_related_service"] = diary_df["is_related_service"].astype(int)
-    diary_df["service_id"] = diary_df["service_id"].astype(str)
-    diary_df["recommend_service_id"] = diary_df["recommend_service_id"].astype(str)
-    diary_df["recommend_service_price"] = diary_df["recommend_service_price"].astype(str)
+    # diary_df["is_related_service"] = diary_df["is_related_service"].astype(int)
+    # diary_df["service_id"] = diary_df["service_id"].astype(str)
+    # diary_df["recommend_service_id"] = diary_df["recommend_service_id"].astype(str)
+    # diary_df["recommend_service_price"] = diary_df["recommend_service_price"].astype(str)
 
-    diary_df["service_id"] = diary_df["service_id"].fillna("-1")
-    diary_df["service_city"] = diary_df["service_city"].fillna("")
-    diary_df["recommend_service_id"] = diary_df["recommend_service_id"].fillna("-1")
-    diary_df["recommend_service_city"] = diary_df["recommend_service_city"].fillna("")
+    # diary_df["service_id"] = diary_df["service_id"].fillna("-1")
+    # diary_df["service_city"] = diary_df["service_city"].fillna("")
+    # diary_df["recommend_service_id"] = diary_df["recommend_service_id"].fillna("-1")
+    # diary_df["recommend_service_city"] = diary_df["recommend_service_city"].fillna("")
 
     diary_df = diary_df[DIARY_COLUMNS]