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Remove zeroing small variance values #684

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Dec 3, 2024
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2 changes: 0 additions & 2 deletions smt/surrogate_models/krg_based.py
Original file line number Diff line number Diff line change
Expand Up @@ -1855,8 +1855,6 @@ def _predict_variances(
else:
A = self.optimal_par["sigma2"]
B = 1.0 - (rt**2.0).sum(axis=0) + (u**2.0).sum(axis=0)
# machine precision: force to zero!
B[B < 1e-12] = 0
s2 = np.einsum("i,j -> ji", A, B)
# Mean Squared Error might be slightly negative depending on
# machine precision: force to zero!
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