pysal/gwlearn: v0.0.2
Abstract
What's Changed clean up n_jobs warning by @jGaboardi in https://github.com/pysal/gwlearn/pull/44 MAINT: eliminate warnings from CI by @martinfleis in https://github.com/pysal/gwlearn/pull/46 ENH: support predict method on regressors by @martinfleis in https://github.com/pysal/gwlearn/pull/47 [pre-commit.ci] pre-commit autoupdate by @pre-commit-ci[bot] in https://github.com/pysal/gwlearn/pull/50 ENH: add GWRandomForestRegressor by @martinfleis in https://github.com/pysal/gwlearn/pull/49 ENH: prediction based on nearest model only or a custom bandwidth by @martinfleis in https://github.com/pysal/gwlearn/pull/52 ENH: implement fusion with the global model in prediction by @martinfleis in https://github.com/pysal/gwlearn/pull/54 API: move geometry back to fit, implement score and backbone for metadata routing by @martinfleis in https://github.com/pysal/gwlearn/pull/55 DOC: add comparison with mgwr by @FirePheonix in https://github.com/pysal/gwlearn/pull/51 document and test metadata routing by @martinfleis in https://github.com/pysal/gwlearn/pull/56 New Contributors @pre-commit-ci[bot] made their first contribution in https://github.com/pysal/gwlearn/pull/50 @FirePheonix made their first contribution in https://github.com/pysal/gwlearn/pull/51 Full Changelog: https://github.com/pysal/gwlearn/compare/v0.0.1...v0.0.2
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 January 2026