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(parking a reference)
This article looks like it has a good overview of methods for meta-analysis of risk difference, based on a very brief look at the article.
Guo, Juanru, Mengli Xiao, Haitao …
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It would be very useful if glmmTMB supported different types of ordinal regression, e.g. the proportional odds model (cumulative link logit model).
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When creating a PEFT model and then trying to train it, we get an error;
```
File "/scratch/gpfs/ashwinee/unsloth/unsloth/kernels/fast_lora.py", line 106, in backward
d_do…
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Hello @naraysa, it would be really helpful if you provide a demo code for gzsl-od case. Thanks a lot.
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Is SD3 training available?
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@arteagac, xlogit looks amazing, thanks for your work on this!
As @crforsythe noted in issue #3 on implementing WTP space models, I'm the author of the [logitr R package](https://github.com/jhelvy…
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参考来源：
```
https://blog.csdn.net/m0_62128864/article/details/124527129
```
1. 简介
GoogLeNet是2014年Christian Szegedy提出的一种全新的深度学习结构，GoogLeNet名字致敬了LeNet，因此大写了L。在这之前的AlexNet、VGG等结构都是通过增大网络的深度（层数）来获得更好的训…
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For logistic regression, the rope range is a function of 3/sqrt(pi), as this is the sd of the logistic distribution (on the latent scale).
However, this is the _conditional_ sd, which is akin to sigm…
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I am trying to do an observed power calculation for a glmer binomial model; but, the results are 0% power with the same error on every simulation:
stage index message
1 …
JCruk updated
6 years ago