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fix: doc: creating new kernel was missing active dims

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mzwiessele 2017-10-02 10:12:54 +01:00
parent 3d38df94d8
commit 28fb1f013e
1 changed files with 4 additions and 4 deletions
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8
doc/source/tuto_creating_new_kernels.rst
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@ -41,8 +41,8 @@ For all Kerns the first parameter ``input_dim`` corresponds to the
dimension of the input space, and the following parameters stand for
the parameterization of the kernel.
You have to call ``super(<class_name>, self).__init__(input_dim,
name)`` to make sure the input dimension and name of the kernel are
You have to call ``super(<class_name>, self).__init__(input_dim, active_dims,
name)`` to make sure the input dimension (and possible dimension restrictions using active_dims) and name of the kernel are
stored in the right place. These attributes are available as
``self.input_dim`` and ``self.name`` at runtime. Parameterization is
done by adding :py:class:`~GPy.core.parameterization.param.Param`
@ -53,8 +53,8 @@ your code. The parameters have to be added by calling
:py:class:`~GPy.core.parameterization.param.Param` objects as
arguments::
def __init__(self,input_dim,variance=1.,lengthscale=1.,power=1.):
super(RationalQuadratic, self).__init__(input_dim, 'rat_quad')
def __init__(self,input_dim,variance=1.,lengthscale=1.,power=1.,active_dims=None):
super(RationalQuadratic, self).__init__(input_dim, active_dims, 'rat_quad')
assert input_dim == 1, "For this kernel we assume input_dim=1"
self.variance = Param('variance', variance)
self.lengthscale = Param('lengtscale', lengthscale)