Python package for Gaussian process regression in python ======================================================== demo_gpr.py explains how to perform basic regression tasks. demo_gpr_robust.py shows how to apply EP for robust Gaussian process regression. gpr.py Basic gp regression package gpr_ep.py GP regression with EP likelihood models covar: covariance functions
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Gaussian process toolbox for python.
For documentation see the doctree generated by Sphinx. Currently licensed under GPLV2, see LICENSE.txt
Authors: Oliver Stegle, Nicolo Fusi, Max Zwiessele Email: oliver.stegle@gmail.com
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