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loosen error bound for logistic regression model
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main.jl

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@@ -151,12 +151,19 @@ elseif length(ARGS) == 3 && ARGS[1] == "--run"
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else
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ADTYPES["FiniteDifferences"]
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end
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rtol = if (model_name == "dppl_logistic_regression")
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# these models are numerically more sensitive to different backends so use looser bounds
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1e-1
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else
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sqrt(eps())
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end
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result = run_ad(
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model,
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adtype;
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rng=Xoshiro(468),
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test=WithBackend(ref_backend),
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benchmark=true,
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rtol=rtol,
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)
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end
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# If reached here - nothing went wrong

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