Metadata-Version: 2.1
Name: spatial-kfold
Version: 0.0.1
Summary: spatial-kfold: A Python Package for Spatial Resampling Toward More Reliable Cross-Validation in Spatial Studies.
Home-page: https://github.com/WalidGharianiEAGLE/spatial-kfold
Author: Walid Ghariani
Author-email: walid11ghariani@gmail.com
License: MIT
Keywords: cross-validation,machine-learning,GIS,spatial
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.7

# spatial-kfold
spatial resampling for more robust cross validation in spatial studies

spatial-kfold is a python library for performing spatial resampling to ensure more robust cross-validation in spatial studies. It offers spatial clustering and block resampling technique with  user-friendly parameters to customize the resampling. It enables users to conduct a "Leave Region Out" cross-validation, which can be useful for evaluating the model's generalization to new locations as well as improving the reliability of [feature selection](https://doi.org/10.1016/j.ecolmodel.2019.108815) and [hyperparameter tuning](https://doi.org/10.1016/j.ecolmodel.2019.06.002) in spatial studies
