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GovXS / Evaluating-Voting-Design-Tradeoffs-for-Retro-Funding

Measure how different Retro Funding voting designs perform against a number of requirements aimed at optimizing different objectives. Achieved by simulating different types of voter behavior and applying formal reasoning.
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Implement ell1 to measure distance in Robustness evaluation #17

Closed AngelaKTE closed 1 week ago

AngelaKTE commented 1 month ago

Description

There are several ways to measure distance for vectors.
We aim to apply "L1"/"ell1" (Manhattan distance), defined as

Screenshot 2024-08-15 at 11.20.58.png

The current evaluation notebook seems to use Euclidean Distance, pls change @idrees535

References

https://www.overleaf.com/project/667bebbdb70211dfcff39701

linear[bot] commented 1 month ago
GOV-26 Implement ell1 to measure distance in Robustness evaluation

### Description There are several ways to measure distance for vectors. We aim to apply "ell1" (Manhattan distance), defined as [Screenshot 2024-08-15 at 11.20.58.png](https://uploads.linear.app/e20ea0d1-fb5e-4dbf-8adf-c5469d5d9508/1b99c950-4334-4a5a-8fa3-8559e0f69fd3/f5cae94a-2678-4995-9284-7da3867471ce) The current evaluation notebook seems to use Euclidean Distance, pls change @idrees535 ### References [https://www.overleaf.com/project/667bebbdb70211dfcff39701](https://www.overleaf.com/project/667bebbdb70211dfcff39701)

idrees535 commented 1 month ago

I think it is implemented correctly @AngelaKTE

image
AngelaKTE commented 1 month ago

It might be an outdated file. My PR is here: https://github.com/GovXS/OP-Evaluating-Voting-Design-Tradeoffs-for-Retro-Funding-RESEARCH-/pull/18/files

AngelaKTE commented 1 week ago