Metadata-Version: 1.1
Name: pygp
Version: 1.1.09
Summary: 
Python package for Gaussian process regression in python
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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
Home-page: https://github.com/PMBio/pygp
Author: Oliver Stegle, Max Zwiessele, Nicolo Fusi
Author-email: EMAIL HERE
License: GPLv2
Description: UNKNOWN
Platform: UNKNOWN
Requires: numpy
Requires: scipy
Requires: matplotlib
