Comments (3)
WenjieDu
commented on June 26, 2024
Hi there 👋,
Thank you so much for your attention to PyPOTS! If you find PyPOTS helpful to your work, please star⭐️ this repository. Your star is your recognition, which can help more people notice PyPOTS and grow PyPOTS community. It matters and is definitely a kind of contribution to the community.
I have received your message and will respond ASAP. Thank you for your patience! 😃
Best,
Wenjie
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PsYaoyo
commented on June 26, 2024
miss some dependencies
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WenjieDu
commented on June 26, 2024
Hi @PsYaoyo, thank you for raising this issue. This exception happens here. Starting from PyPOTS v0.0.9, we remove torch_geometric from the dependency file due to its long installation time. Users who want to use RainDrop in PyPOTS should install torch_geometric manually with pip install torch_geometric or conda install -c pyg pyg.
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Related Issues (20)
- Segmentation fault (core dumped) HOT 2
- Adding TimesNet as an imputation model HOT 2
- CSDI `gt_mask` is wrong in PyPOTS implementation
- CSDI returns imputation averaged over sampling times
- Need a func to calc CRPS for evaluating imputation from probabilistic models like CSDI
- Change the metric of CSDI validation stage back to the same as the original
- Possible to implement CSDI as a forecasting model for POTS data HOT 7
- Current non-stationary normalization may result in NaN values
- Make the framework using a consistent strategy when lazy-loading val_set
- Simplify the structure of `val_set`
- The name of `X_intact` may be confusing
- GP-VAE should return multiple sampling results
- Infinite loop in LOCF when whole feature missing
- Bug in MRNN, the model should iterate on each feature HOT 1
- Can not execute the example code. HOT 4
- Question about the calculation of time-gap matrix HOT 5
- New Model HOT 3
- Add the Model MICE HOT 1
- Raindrop implementation questions HOT 4
- Inability to Utilize Specific CUDA Devices for Training in Raindrop Model HOT 2
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