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And where defined,
it is probably the better default for `fit` to redispatch to than `fit_mle`.
It also might be worth considering `fit` to take an argument as to if to fit for an unbiased esimator …
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We want to test the 50D case with
1. Walk moves with 50 points and high maxmcmc
1. Stretch moves only
1. Differential Evolution moves only
1. Covariance moves only
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Feature description
---------
Is it possible to add ranking project type where an annotator just sorts the labels in the order that best describes a sample?
For example:
Sample: What is the best…
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Hi Lucas,
Thank you so much for creating this amazing tool! I’m reaching out because I’ve noticed some odd results when using the FST subcommand in versions above v0.5. Specifically, I’m seeing ext…
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TL;DR Original List with yet-to-be implemented FE algorithms in https://github.com/parrt/random-forest-importances/issues/54
Seeing https://github.com/interpretml/interpret/issues/364 and https://g…
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torch.var and torch.std have the following signatures:
```
torch.var(input, dim, unbiased=True, keepdim=False, *, out=None)
torch.std(input, dim, unbiased=True, keepdim=False, *, out=None)
```
…
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Research the correct evaluation method for models trained on not very clinically correct (?) data, basically the thing dr osama commented on in gp1 discussion
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Although our existing kitchen-sink approach is unbiased, it may not make sense for all screens, and it places an unnecessary burden on investigators when they are applying our software to new screens.…
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Hi,
Thanks for sharing the code, it's really helpful. From your code, I can get the acc of bias align, bias conflic and total acc. But could I know how can I calculate the unbiased accuracy? Thanks!
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As described in [Hivert _et. al_ **preprint**](https://www.biorxiv.org/content/early/2018/03/20/282400)