pysal/gwlearn: v0.1.0

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Martin Fleischmann, James Gaboardi, Shubham Singh
DOI: 10.5281/zenodo.18197107
Cited by: 0

Abstract

What's Changed Other Changes MAINT: infrastructure enhancements by @martinfleis in https://github.com/pysal/gwlearn/pull/62 DOC: make notebooks a bit faster to execute by @martinfleis in https://github.com/pysal/gwlearn/pull/63 DOC: various documentation enhancements by @martinfleis in https://github.com/pysal/gwlearn/pull/64 Full Changelog: https://github.com/pysal/gwlearn/compare/v0.0.4...v0.1.0

Fields of Study & Subjects

Spatial and Panel Data Analysis Computational Physics and Python Applications Gaussian Processes and Bayesian Inference

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 January 2026