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plug in the new ReweightedSimulatiedAnnealingClass (API config) and make the **Quality** configurable
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This is an interesting paper, which gives a systematic understanding about why vision Transformers exhibit strong robustness against various corruptions. I have a question after I read this paper.
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Hi everyone
Is there a any reasonable way to filter or combine CLIMADA [Impact](https://github.com/CLIMADA-project/climada_python/blob/develop/climada/engine/impact.py) instances at the moment?
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@manuelfs Let's use this issue to discuss how to proceed w/ +/- 1 sigma FF parameter variation.
Part of https://github.com/umd-lhcb/rdx-run2-analysis/issues/33
Meaning of FF variation in HAMMER:…
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Hello dear authors,
I was wondering if I could have some clarifications on GCE.
1. GCE is almost an interpolation between CCE and MAE. Their respective derivates are the following:
![image](htt…
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**Is your feature request related to a problem? Please describe.**
The feature can be used to find out the shortest paths between two vertices.
**Describe the solution you'd like**
->Let the g…
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Hi I posted the below in the github discussions and I also posted on Stackoverflow https://stackoverflow.com/questions/68019978/adaboost-sklearn-feature-importance-nan
The version I was using was v…
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I'm not sure if this is possible to do - I assumed it would be?
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Arnaud Mosnier writes:
> In one of my previous projects I have used the BAM function (mgcv package) to fit a logistic model. I have used the “weights” parameter to weight the contribution of each d…