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update typo in a comment
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causallearn/utils/ScoreUtils.py

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@@ -523,7 +523,7 @@ def cov_noise(logtheta=None, x=None, z=None, nargout=1):
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def cov_seard(loghyper=None, x=None, z=None, nargout=1):
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# Squared Exponential covariance function with Automatic Relevance Detemination
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# Squared Exponential covariance function with Automatic Relevance Determination
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# (ARD) distance measure. The covariance function is parameterized as:
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#
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# k(x^p,x^q) = sf2 * exp(-(x^p - x^q)'*inv(P)*(x^p - x^q)/2)

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