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yfzhang114 / OneNet

This is an official PyTorch implementation of the NeurIPS 2023 paper 《OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling》
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Some basic questions to ask #6

Open zeyeon opened 3 months ago

zeyeon commented 3 months ago

Hello, I am a freshman. I have read your literature and main code and have some basic questions :

  1. May I ask if in your experiments, you include a comparison between the results of applying online learning and not applying online learning?
  2. for mitigating conceptual drift, did you try in your experiments: the comparison of periodically updating the model after training then predicting and direct prediction without updating the model?
    I hope you could discuss this problem with me. Looking forward to your reply. Thank you.
yfzhang114 commented 3 months ago

we indeed included such a comparison in our study. Specifically, you can find the relevant findings in Table 5 of our paper, along with a detailed discussion in Section 4.3. We aimed to thoroughly explore the impact of online learning in our experiments and provide insights into its efficacy.