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Hey looks like a nice library. I would appreciate an example of a logistic regression. Also i was wondering what `0/L2` and `L1/EN` mean, i don't know which one to choose. Thank you
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I did a high level read of our cuML docs after someone linked me to a question with a spelling error, and listed some persisting spelling and grammar errors that i found. Some are across multiple rel…
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@hkaman7 I realize you might not be completely done with your notebook, but I wanted to give some feedback and ideas while we have time to look at it and adjust things.
* I think you're lecture 3,…
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Reproducible example:
```
library(nimble)
# scalar works fine, both uncompiled and compiled
nf
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Hi @jswerdel ,
I know we had a brief discussion on this topic. Anyway I was also referring your other post [here](https://forums.ohdsi.org/t/phevaluator-faqs/9706) which got me a bit confused again…
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**Submitting author:** @briandesilva (Brian de Silva)
**Repository:** https://github.com/dynamicslab/pysindy
**Version:** v0.12.0
**Editor:** @terrytangyuan
**Reviewer:** @sixpearls, @dawbarton
**Arch…
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I am fitting regression with ARIMA errors using auto.arima. Since I suspect the models could be over-fit, I want to use regularization with it. Is it possible to implement lasso or elastic net regular…
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Would someone like to implement the new MLJ interface for linear models for which julia code already exists, including:
[GLM.jl](https://github.com/JuliaStats/GLM.jl) for many of these
[Lasso.j…
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I am looking for python code for fused lasso for logistic regression for Windows
may you recommend one?
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Can we have the option for L1 normalization in the linear / logistic / maxent algorithms? This would give us a way to zero out the weights, especially when using bag of words with a sparse vector.