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This repository has been archived by the owner on Jul 1, 2024. It is now read-only.
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.
The text was updated successfully, but these errors were encountered:
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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.The text was updated successfully, but these errors were encountered: