Comments (4)
什么叫对线上数据进行预测?如果是线上服务的话,这个感觉是工业问题吧,每个公司都会有成熟的在线 inference 系统的,具体得问问你们的工程实现方啊。在线预测的时候,输入的组织方式和离线的是一致的。
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什么叫对线上数据进行预测?如果是线上服务的话,这个感觉是工业问题吧,每个公司都会有成熟的在线 inference 系统的,具体得问问你们的工程实现方啊。在线预测的时候,输入的组织方式和离线的是一致的。
可能没有描述清楚,问题是这样的:离线训练的时候,用的是user_feat + ad_feat + session_list数据,预测是否点击,线上如果也这样的话应该没有意义了吧,因为session_list既然都已经发生了,预测是否点击也就没意义了,还请赐教
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额,你好像对 CTR 问题不是很理解,你可以看看我引用的 DIN / YoutubeNet 那篇论文,里面有工程介绍。
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直接按照训练时候的样子组织数据传给模型预测分数不就好了吗?不过可以问下PB格式模型无法导出来咋搞
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Related Issues (20)
- tensorflow.python.framework.errors_impl.InvalidArgumentError: indices[6,0] = 9984 is not in [0, 5619) HOT 5
- 关于结果 HOT 5
- 关于代码中Transformer输入格式的疑惑 HOT 3
- #Parameter is zero for gru and attention layer? HOT 4
- 关于dien,dsin实验结果的输入参数设置
- Transformer类中call()的问题 HOT 3
- 结果和原文有差距。 HOT 9
- train_din error HOT 1
- 关于session的划分
- MemoryError
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- SingleFeat不存在 HOT 1
- 报bug:DSIN特征穿越问题?
- The code file "train_dsin.py" fails to run. HOT 2
- in 0_gen_sampled_data.py why behavior_log.csv drop 'btag' columns
- 关于序列构造的问题 HOT 2
- run train_din error HOT 1
- train_dsin error HOT 14
- 0_gen_sampled_data.py error HOT 1
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