Question about hyperparameter optimization

[SilenceRan]

Hello, I would like to ask you about the hyperparameter optimization for the model. In your file NNI_tuning/SAITS/SAITS_searching_config.yml, you described the settings for the hyperparameters and the training command, which also includes a JSON file. However, when I tried to run the command for hyperparameter optimization on SAITS, I encountered an error: "No option 'mit' in section: 'training'". I supplemented the missing parameters and ran it again, but I only obtained the parameters set in the SAITS_basic_config.ini file. Could you please advise me on how to iterate through the parameters in the JSON file to obtain the optimal parameters?

[WenjieDu]

Hi there,

Thank you so much for your attention to SAITS! If you find SAITS is helpful to your work, please star⭐️ this repository. Your star is your recognition, which can let others notice SAITS. It matters and is definitely a kind of contribution.

I have received your message and will respond ASAP. Thank you again for your patience! 😃

Best,
Wenjie

[WenjieDu]

What do you mean by "only obtained the parameters set in the SAITS_basic_config.ini file"?

[SilenceRan]

Sorry, I didn't describe it clearly. At SAITS_ Searching_ How can I use a command to automatically combine optimization values for the parameters set in the space.json file? The problem I encountered is: according to SAITS_ Searching_ Description in the config.yml file, run Python..// Run_ Models.py -- config_ Path SAITS_ Basic_ Config.ini -- param_ Searching_ Mode, only SAITS obtained_ Basic_ The result of setting parameters in the config.ini file did not traverse SAITS_ Searching_ Can a single instruction be used to optimize the parameters set in space.json?

[SilenceRan]

What method do you use to optimize the parameters of SAITS?

[WenjieDu]

对不起，我实在看不懂你上面的英文描述，我看到你在你自己的repo中使用了中文描述，所以我推测你应该会中文，让我们用中文交流吧，请使用中文描述你的遇到的问题，如果遇到文件名/代码/命令行，请最起码使用引号与你的描述进行分割，提问者所应具备的最起码的素质就是将自己的问题以清晰的逻辑描述清楚，谢谢。

[SilenceRan]

抱歉，现在才回复您的消息，我想问一下，SAITS模型有那么多可调的参数，您是使用什么方法将这些参数调整到最优的？

[WenjieDu]

没事。关于超参优化的部分，readme中已经说了是使用的NNI进行超参搜索的，各个模型在实验中的NNI配置文件也全都给出了，如果不熟悉NNI请先了解一下学习如何使用 https://github.com/microsoft/nni

[SilenceRan]

感谢回答，我去学习一下，您的SAITS模型十分优秀，使我受益匪浅！

[WenjieDu]

不客气，谢谢你对SAITS这篇论文的认可，如果喜欢，请给我们这个代码仓库加个星⭐️，请在你的工作中引用我们的论文，非常感谢！如果你的工作与不完整的时序相关，PyPOTS算法库 或许对你有帮助。你也可以在github上关注我，及时了解我们团队最新的开源动态。

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