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### Is your feature request related to a problem?
When xCDAT performs an averaging operation (spatial or temporal) with missing data, it assigns missing values a weight of zero (which is correct). Bu…
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Hi, did this ever happen to you?
> RuntimeError: input.is_contiguous() INTERNAL ASSERT FAILED at "shift_cuda.cpp":21, please report a bug to PyTorch. input must be contiguous
Full trace:
```
Tra…
WurmD updated
3 weeks ago
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```
It would be very useful for pysal to recognize and handle NaN values in NumPy
arrays and/or pandas dataframes. Sometimes, it is not desirable to simply drop
all observations with missing data, a…
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### Task motivation
Spatial decomposition (also often referred to as Spatial deconvolution) is applicable to spatial transcriptomics data where the transcription profile of each capture location (spo…
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### Model description
Hi there!
I was wondering if anyone has tried to implement Microsoft's DyHead? If not, I would like to contribute the implementation by adding a new model to the library. Is t…
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Can I find an example later to use this library?
In particular in my case I have a matrix made up like this (date, longitude, latitude, mm of rain).
How can I apply it to this case in case I want…
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As the new generation of weights are coming into fruition (#534 ), I wanted to drop an issue to collate a proposal and some ideas @martinfleis and I have been fleshing out over the past couple of year…
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```
It would be very useful for pysal to recognize and handle NaN values in NumPy
arrays and/or pandas dataframes. Sometimes, it is not desirable to simply drop
all observations with missing data, a…
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Hi, due to the poor PC and GPU I can't train a full model using this param:
```python
parser = argparse.ArgumentParser()
parser.add_argument('--train', type=str, default='./simple_train.p…
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Create a Jupyter Notebook tutorial that covers how to convert column-based data to grid-based data for use with xCDAT APIs.
- Related to [comment](https://github.com/xCDAT/xcdat/issues/89#issuecommen…