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This repository was archived by the owner on Jul 1, 2024. It is now read-only.
This repository was archived by the owner on Jul 1, 2024. It is now read-only.

Bootstrapping RMSD figures #30

@everyday847

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@everyday847

We're at the point where we want to be able to make meaningful comparisons between the performance of e.g. FARFAR and SWM on a variety of problems.

However, it's a pain to compare 'RMSD of lowest energy model' (for example) without an idea of the distributions each value is coming from. If FARFAR is getting 1.04A and SWM is getting 1.07, is FARFAR winning? What about 0.90A vs. 1.05?

Once I decide on an implementation (advice welcome!) we will be able to bootstrap statistics from full_model silent files.

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