Comments (3)
nicrie
commented on May 27, 2024
1
Thank you for raising this! The attributes are indeed just for tracking model configurations, so you're probably right that converting all values to str will fix this. I'll try to make a new release in the coming days.
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nicrie
commented on May 27, 2024
1
No worries! I'll leave the issue open as a reminder for myself and until the new release is out.
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liuchao95
commented on May 27, 2024
Thank you for your efforts in actively maintaining this package!
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Related Issues (20)
- Centering the input data is not equivalent to removing the linear trend beforehand HOT 5
- `dask`-based computation not entirely lazy HOT 3
- ModuleNotFound Error datatree HOT 5
- `scores()` don't match `transform()` with dask data HOT 4
- Improving release process
- Keep the documentation in sync with the code HOT 3
- Add dependencies section in the documentation HOT 1
- numpy and pandas dependency question
- numpy and pandas dependencies HOT 3
- Migrating repository to xarray-contrib HOT 2
- why the explained_variance_ratio of CCA so small HOT 4
- Serialization fails with `xarray>=2024.1.0` HOT 2
- Single mode data reconstruction fails with normalized scores HOT 9
- Support for complex input data
- MCA incorrect coords alignment in transform method HOT 3
- Is the reconstruction of unseen data possible using EOF? HOT 5
- Model cannot fit DataArray without coordiantes
- Add option `n_modes="all"` to perform the full decomposition HOT 2
- Trouble creating the eof object HOT 8
- TypeError: __init__() missing 1 required positional argument: 'X' HOT 1
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