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Author:
None
License:
MIT
Summary:
Robustness benchmark framework for geospatial imputation and augmentation: 10 imputers (incl. TabPFN foundation model + KpR hybrid), spatial block CV, transferability evaluator, value-based privacy masking, Moran's I preservation, ΔF1 augmentation metric.
Latest version:
0.1.0
Required dependencies:
lightgbm
|
matplotlib
|
numpy
|
pandas
|
pyarrow
|
pykrige
|
scikit-learn
|
scipy
|
tqdm
Optional dependencies:
build
|
pytest
|
pytest-cov
|
ruff
|
spatialaug
|
tabpfn
|
twine
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