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Hi! Awesome work! I have been trying to train the tile version for stable diffusion v2. Can you share some details (dataset, how many steps, etc)? I use a [lion dataset](https://huggingface.co/dataset…
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Hello - thanks for the wonderful package. From the writeup and the description, it seems very promising.
I wanted to check if GPBoost supports or will support sample weights? I have tried in both …
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I am fitting a mixed model with about 10,000 groups, eg:
``
import statsmodels.formula.api as smf
``
``
model = smf.mixedlm('Y ~ cov_1 + cov_2 + cov_3',
data,
groups …
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Hi everyone,
I'm trying to fit a multidimensional regression where I have GPs on 3 dimensions:
```
Y_{l,a,t} = b1*X1 + b2*X2 + (GP by L) + (GP by A) + (GP by T)
```
where I'm treating `X1` and …
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Dear Didier,
I am still experimenting with FielDHub, this time with the app. Is it possible to allow more flexibility in the field layout, for example for 1 36 entries experiment, I would like to p…
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### Description
Earlier this year the maui community toolkit shipped the `TouchBehavior` which was a port of the popular `TouchEffect`, an issue noticed in development and by the community once relea…
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# Text predictors for #TidyTuesday chocolate ratings | Julia Silge
A data science blog
[https://juliasilge.com/blog/chocolate-ratings/](https://juliasilge.com/blog/chocolate-ratings/)
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I am trying to fit a Gamma model to a reaction time data (there is a recent paper that argues for not transforming RTs and using GLMM with Gamma or Inverse Gaussian --> http://journal.frontiersin.org/…
hikea updated
5 years ago
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I'd like to run GLMMs using MixedModels.jl, assuming that the response variable follows some continuous distribution. To test, I followed an example [here](https://github.com/JuliaStats/MixedModels.jl…
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@juliaregistrator register
Unfold 0.4.0 Release notes
**New feature:** Fit multiple mass-univariate models at the same time. Similar to how you can fit multiple events/basisfunction in an Unfold…