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Change error computation to log space.
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examples/gaussian_nondiagcov.py

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@@ -192,7 +192,7 @@ def run_example(
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ev = hm.Evidence(chains_test.nchains, model)
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# ev.set_mean_shift(0.0)
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ev.add_chains(chains_test)
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ln_evidence, ln_evidence_std = ev.compute_ln_evidence()
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err_ln_inv_evidence = ev.compute_ln_inv_evidence_errors()
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# Compute analytic evidence.
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if i_realisation == 0:

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