Metadata-Version: 2.4
Name: laGPy
Version: 2.1.5
Summary: Python implementation of local approximate GP
Home-page: https://github.com/rqmacasieb/laGPy
Author: Reygie Macasieb
Author-email: reygie.macasieb@research.uwa.edu.au
License: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.19.0
Requires-Dist: scipy>=1.6.0
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# laGPy
Python implementation of local approximate GP (laGP) based on the methods of Gramacy (2016)
laGP approximates GP regression by finding local designs to predict GP outputs at some untried inputs.

A complete documentation about laGP and an associated R package can be found in https://bobby.gramacy.com/r_packages/laGP/


