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active_dims as extra parameter for kernels, it tells which input dimensions to work on

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Max Zwiessele 2014-03-14 09:18:08 +00:00
parent 328e0124c7
commit efcce6d0af
12 changed files with 73 additions and 59 deletions
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4
GPy/kern/_src/rbf.py
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@ -19,8 +19,8 @@ class RBF(Stationary):
k(r) = \sigma^2 \exp \\bigg(- \\frac{1}{2} r^2 \\bigg)
"""
def __init__(self, input_dim, variance=1., lengthscale=None, ARD=False, name='rbf'):
super(RBF, self).__init__(input_dim, variance, lengthscale, ARD, name)
def __init__(self, input_dim, variance=1., lengthscale=None, ARD=False, active_dims=None, name='rbf'):
super(RBF, self).__init__(input_dim, variance, lengthscale, ARD, active_dims, name)
self.weave_options = {}
def K_of_r(self, r):