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Multivariate regression task #458
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Hi there 👋, Thank you so much for your attention to PyPOTS! You can follow me on GitHub I have received your message and will respond ASAP. Thank you for your patience! 😃 Best, |
This issue had no activity for 14 days. It will be closed in 1 week unless there is some new activity. Is this issue already resolved? |
@IKetchup Thanks for your attention to our work. So far there is no model in PyPOTS supporting such a task. But we will add one soon. Please stay tuned, and you can follow me to get notified of updates on all PyPOTS toolkits in the future. |
This issue had no activity for 14 days. It will be closed in 1 week unless there is some new activity. Is this issue already resolved? |
Issue description
Hello, thank you for your amazing work. I would like to use PyPOTS in my research with timeseries.
I woud like to train a model to predict 3D timeseries from other differents 3D timeseries. My goal is to use timeseries of shape (batch_size, len_size, input_features) to predict differents timeseries of shape (batch_size, len_size, output_features) with input_features different from output_features (no commun features). Is it possible to do so as this type of problem is not exaclty seen as forcasting and if possible how should I start ?
Thnaks in advance
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