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New tutorial draft called 'A kernel overview'

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Nicolas 2013-02-08 16:10:58 +00:00
parent 1d6885f6d9
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doc/tuto_GP_regression.rst
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@ -12,7 +12,7 @@ We first import the libraries we will need: ::
import numpy as np
import GPy
1 dimensional model
1-dimensional model
===================
For this toy example, we assume we have the following inputs and outputs::
@ -99,7 +99,7 @@ Once again, we can use ``print(m)`` and ``m.plot()`` to look at the resulting mo
GP regression model after optimization of the parameters.
2 dimensional example
2-dimensional example
=====================
Here is a 2 dimensional example::