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Possible to implement CSDI as a forecasting model for POTS data #264
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I start working on it, to get familiar with code and understand its infrastructure. |
Many thanks, Ahmad. I've assigned this to you and me. I can help you at any time, please just start the discussion here if you need any information or assistance. And once you make the PR, I'll review the code. |
@ahmaddroobi99 The graph you posted is an overview of how CSDI works: input, process, and output. Here are some clues and suggestions from me:
Let me know if you have any further questions. |
Hi @WenjieDu and @ahmaddroobi99 maybe I can help on this as well, I have some experience in CSDI code and had also familiar with their code and paper. |
Thanks, @LinglongQian, good to know you'd like to help. I'm going to check with Ahmad to see how things are going on his side. Then we can determine which part you can take care of. |
Ahmad @ahmaddroobi99 recently has been very busy with his own work. After communication, Linglong @LinglongQian and I will take care of this issue. |
1. Feature description
Although, in the CSDI paper, the authors discussed using the model for time series forecasting, their experiments and scenarios are for complete time series. However, the model is possible for POTS forecasting.
2. Motivation
Make CSDI a forecasting model in PyPOTS.
3. Your contribution
I'm currently overloaded. If anyone is interested in this task, please discuss it below to see if you can take it.
The CSDI model has been included in PyPOTS as an imputation model, so necessary modules are all available already.
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