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minor updates to the docs

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mzwiessele 2014-09-05 14:18:37 +01:00
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5
doc/tuto_creating_new_models.rst
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@ -39,8 +39,9 @@ Obligatory methods
:py:meth:`~GPy.core.model.Model.parameters_changed` :
Updates the internal state of the model and sets the gradient of
each parameter handle in the hierarchy with respect to the
log_likelihod. Thus here we need to put the negative derivative of
the rosenbrock function:
log_likelihod. Thus here we need to set the negative derivative of
the rosenbrock function for the parameters. In this case it is the
gradient for self.X:
self.X.gradient = -scipy.optimize.rosen_der(self.X)