update

ad_user_data_with_out_update.py

@@ -51,7 +51,7 @@ def predict_user_group_out_rate(user_group_initial_df, dt, data_params, rule_par
     user_group_df['group_ad_out_rate'].fillna(0, inplace=True)
     # 计算用户组有广告时不直接跳出的概率
     user_group_df['group_ad_no_out_rate'] = 1 - user_group_df['group_ad_out_rate']
-    log_.info(f"user_group_df:\n{user_group_df}")
+    # log_.info(f"user_group_df:\n{user_group_df}")
     # 结果写入redis
     key_name = f"{config_.KEY_NAME_PREFIX_AD_GROUP}{data_key}:{rule_key}:{dt}"
     redis_data = {}