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readded float variance
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@ -51,6 +51,7 @@ class Gaussian(likelihood):
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return ["noise_variance"]
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def _set_params(self, x):
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x = float(x)
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if self._variance != x:
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self.precision = 1. / x
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self.covariance_matrix = np.eye(self.N) * x
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