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I am working on a regression problem where I am attempting to use UMAP for supervised feature embedding, and use the resulting low-dimensional embeddings as input variables of a subsequent regression …
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### Lesson Title
High-dimensional Statistics with R
### Lesson Repository URL
https://github.com/carpentries-incubator/high-dimensional-stats-r
### Lesson Website URL
https://carpentries-incubato…
gperu updated
2 months ago
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We have very high dimensional data and we need to build many models in a binary representation. To tackle this, we have to take the help of Logistic Regression with One vs Rest classifier. The classif…
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This issue can be a collection and discussion of methods we could add to the library at some point, in no particular order :) Feel free to comment with suggestions and if you feel comfortable, you are…
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It turns out that #37829 has increased iteration performance for 2d array, while slowed down the iteration for higher-dimensional(>=4) array...
```julia
julia> using BenchmarkTools
julia> funct…
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I would like to use lifelines package cox-regression analysis on TCGA data ( a very high dimensional dataset ~1500 features), and I keep getting the "Convergence halted due to matrix inversion problem…
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1. Inference on Predictive and Causal Effects in High Dimensional Linear Regression Models
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hello!
In my recent research, I used pysr to do some symbolic regression tasks. I found that pysr 's loss is even smaller than ANN in some cases. How can I explain this magic of pysr ? Why is the res…
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great code thanks
regarding to performance
did you compared with
https://github.com/FrankD/fuser
Fused lasso for high-dimensional regression over groups
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(where is my code, I don't see it in #2374, not committed anywhere?)
main references are Jianqing Fan and coauthors
the following two are very recent, and the Wang/Leng article seems to have a good …