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Removed ipython code from tuto

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Alan Saul 2013-02-08 22:57:01 +00:00
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doc/tuto_GP_regression.rst
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@ -2,28 +2,6 @@
Gaussian process regression tutorial
*************************************
.. ipython:: python
import numpy as np
import GPy as gpy
"""run a simple demonstration of a standard gaussian process fitting it to data sampled from an rbf covariance."""
data = gpy.util.datasets.toy_rbf_1d()
# create simple gp model
m = gpy.models.GP_regression(data['X'],data['Y'])
# optimize
m.ensure_default_constraints()
m.optimize()
print(m)
# plot
m.plot()
We will see in this tutorial the basics for building a 1 dimensional and a 2 dimensional Gaussian process regression model, also known as a kriging model.
We first import the libraries we will need: ::