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When using mice multiple imputation to generate multiple imputed sets and then running a model on each one of them (like elastic-net from the `glmnet` package) and then pooling the estimates to a sing…
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`glmnet` ridge does not seem to always give the same results as others on simple datasets (even outside of Benchopt, that's why I present the R code):
To solve the ridge problem: $\min \frac{1}{2}||y…
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@ajaynshah @ayushpatnaikgit @mousum-github @SusanXKDR
I am tempted to integrate GLMNet and Lasso
https://github.com/JuliaStats/GLMNet.jl
https://github.com/JuliaStats/Lasso.jl/blob/master/docs…
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Hi,
I tried to estimate the AverageTreatmentEffect with 'ltmle' using solely
SL.library="SL.glmnet" for the LASSO for variable selection which results in:
Error in lognet(x,is.sparse, ix, jx, …
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In the main branch code of this repository, the very last for loop
input.columns %
select(-one_of(columns_to_exclude))
output.column
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Hi,
Running rgcca_cv with the following options:
```
rgcca_cv(blocks, response = 4, method = "rgcca",
par_type = "ncomp",
par_value = grid_search_matrix,
…
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When fitting models with a large number of variables, Lasso.jl and GLMnet return different paths, and the difference grows bigger as the number of variables is bigger.
An example to illustrate this…
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Hello,
I have forked the repo to work on a new feature. Based on the contributing documents, I started to see if I can run pytest on `tests` files, which I could not. Apparently, `_glmnet` module is …
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Just a thought, I don't want to check right now
Does GLM elastic net use warm start on weights for irls?
and a glmnet related stats.stackexchange question with link to scikit-learn issue
http://stat…
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because then it could be used in combination with FilterEmbedded in mlr3featsel for feature selection in order of L1 inclusion. Importance could be the (approximate) lambda value at which a feature is…
mb706 updated
4 years ago