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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.
pip install spatialaug
PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<2.2,>=1.26>=2.2>=1.13>=1.4>=15.0>=1.7>=4.0>=4.66>=3.8spatialaug publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .