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