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[stationary] lengthscales will be scaled by variance now
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1 changed files with 4 additions and 4 deletions
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@ -283,7 +283,7 @@ class Stationary(Kern):
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return np.zeros(X.shape)
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return np.zeros(X.shape)
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def input_sensitivity(self, summarize=True):
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def input_sensitivity(self, summarize=True):
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return np.ones(self.input_dim)/self.lengthscale**2
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return self.variance*np.ones(self.input_dim)/self.lengthscale**2
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class Exponential(Stationary):
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class Exponential(Stationary):
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def __init__(self, input_dim, variance=1., lengthscale=None, ARD=False, active_dims=None, name='Exponential'):
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def __init__(self, input_dim, variance=1., lengthscale=None, ARD=False, active_dims=None, name='Exponential'):
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