update features

src/models/esmm/diary_model.py

@@ -72,6 +72,16 @@ _int_columns = [
     "sixty_browse_user_num",
     "ninety_browse_user_num",
     "history_browse_user_num",
+]
+_float_columns = [
+    "one_ctr",
+    "three_ctr",
+    "seven_ctr",
+    "fifteen_ctr",
+    "thirty_ctr",
+    "sixty_ctr",
+    "ninety_ctr",
+    "history_ctr",
     "one_vote_pure_rate",
     "three_vote_pure_rate",
     "seven_vote_pure_rate",
@@ -89,7 +99,6 @@ _int_columns = [
     "ninety_reply_pure_rate",
     "history_reply_pure_rate",
 ]
-_float_columns = ["one_ctr", "three_ctr", "seven_ctr", "fifteen_ctr", "thirty_ctr", "sixty_ctr", "ninety_ctr", "history_ctr"]
 _categorical_columns = [
     "device_id", "past_consume_ability_history", "potential_consume_ability_history", "price_sensitive_history", "device_fd",
     "device_sd", "device_fs", "device_ss", "device_fp", "device_sp", "device_p", "content_fd", "content_sd", "content_fs",

src/models/esmm/fe/diary_fe.py

@@ -163,6 +163,16 @@ INT_COLUMNS = [
     "sixty_browse_user_num",
     "ninety_browse_user_num",
     "history_browse_user_num",
+]
+FLOAT_COLUMNS = [
+    "one_ctr",
+    "three_ctr",
+    "seven_ctr",
+    "fifteen_ctr",
+    "thirty_ctr",
+    "sixty_ctr",
+    "ninety_ctr",
+    "history_ctr",
     "one_vote_pure_rate",
     "three_vote_pure_rate",
     "seven_vote_pure_rate",
@@ -180,7 +190,6 @@ INT_COLUMNS = [
     "ninety_reply_pure_rate",
     "history_reply_pure_rate",
 ]
-FLOAT_COLUMNS = ["one_ctr", "three_ctr", "seven_ctr", "fifteen_ctr", "thirty_ctr", "sixty_ctr", "ninety_ctr", "history_ctr"]
 CATEGORICAL_COLUMNS = [
     "device_id", "active_type", "past_consume_ability_history", "potential_consume_ability_history", "price_sensitive_history",
     "card_id", "is_pure_author", "is_have_reply", "is_have_pure_reply", "content_level", "device_fd", "content_fd", "fd1", "fd2",

src/models/esmm/fe/tractate_fe.py

@@ -147,6 +147,16 @@ INT_COLUMNS = [
     "sixty_browse_user_num",
     "ninety_browse_user_num",
     "history_browse_user_num",
+]
+FLOAT_COLUMNS = [
+    "one_ctr",
+    "three_ctr",
+    "seven_ctr",
+    "fifteen_ctr",
+    "thirty_ctr",
+    "sixty_ctr",
+    "ninety_ctr",
+    "history_ctr",
     "one_vote_pure_rate",
     "three_vote_pure_rate",
     "seven_vote_pure_rate",
@@ -164,7 +174,6 @@ INT_COLUMNS = [
     "ninety_reply_pure_rate",
     "history_reply_pure_rate",
 ]
-FLOAT_COLUMNS = ["one_ctr", "three_ctr", "seven_ctr", "fifteen_ctr", "thirty_ctr", "sixty_ctr", "ninety_ctr", "history_ctr"]
 CATEGORICAL_COLUMNS = [
     "device_id", "active_type", "past_consume_ability_history", "potential_consume_ability_history", "price_sensitive_history",
     "card_id", "is_pure_author", "is_have_reply", "is_have_pure_reply", "content_level", "show_tag_id", "device_fd", "content_fd",

src/models/esmm/tractate_model.py

@@ -63,6 +63,16 @@ _int_columns = [
     "sixty_browse_user_num",
     "ninety_browse_user_num",
     "history_browse_user_num",
+]
+_float_columns = [
+    "one_ctr",
+    "three_ctr",
+    "seven_ctr",
+    "fifteen_ctr",
+    "thirty_ctr",
+    "sixty_ctr",
+    "ninety_ctr",
+    "history_ctr",
     "one_vote_pure_rate",
     "three_vote_pure_rate",
     "seven_vote_pure_rate",
@@ -80,7 +90,6 @@ _int_columns = [
     "ninety_reply_pure_rate",
     "history_reply_pure_rate",
 ]
-_float_columns = ["one_ctr", "three_ctr", "seven_ctr", "fifteen_ctr", "thirty_ctr", "sixty_ctr", "ninety_ctr", "history_ctr"]
 _categorical_columns = [
     "device_id", "past_consume_ability_history", "potential_consume_ability_history", "price_sensitive_history", "show_tag_id",
     "device_fd", "device_sd", "device_fs", "device_ss", "device_fp", "device_sp", "device_p", "content_fd", "content_sd",