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BayesBlendModel.fit()
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Arviz provides estimates of the ELPD/WAIC SE, number of effective parameters etc from arviz.compare, e.g.
arviz.compare
rank elpd_loo p_loo elpd_diff weight se dse warning scale 2 0 -171.504981 4.458772 0.000000 0.628737 7.778326 0.000000 False log 0 1 -171.737773 3.601963 0.232791 0.153030 7.693953 1.385474 False log 1 2 -174.536453 2.804235 3.031472 0.218233 7.708798 3.822378 False log
Should we do the same?
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Arviz provides estimates of the ELPD/WAIC SE, number of effective parameters etc from
arviz.compare
, e.g.Should we do the same?
The text was updated successfully, but these errors were encountered: