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### Is your feature request related to a problem? Please describe.
The current IPL Prediction model in Project-Guidance/Machine Learning and Data Science/Intermediate/IPL Prediction/Regularisation - …
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(I never looked at this.)
Is there anything special that we can add for penalized estimators or can we apply the standard methods?
current case: multicollinearity measures and vif for ridge regr…
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### Details
Several models initially excluded should now be re-evaluated due to the higher degree of explainability and interpretability inherent in their architectures, compared to currently higher …
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It's possible to produce a comparably accurate, but much leaner EBM model by using the LASSO to effectively zero out less relevant terms (both main and interaction effects) and reweight the remaining …
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RLM norms define default parameters, but it's not clear how they are/were chosen.
SAS mentions that theirs are at 95% relative efficiency for normal model (except for Hampel and Welch). But they use 8…
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Although the fitting algorithm plays an important role, it is often unreported/uncared about. Surprisingly, its access is not really straightforward.
What do you think about a function that does t…
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Hey all,
I'd like to run a caretStack model with Adaptive LASSO (see explanation [here](https://ricardocarvalho.ca/post/lasso/)). Code for something like that is below. As you can see, you essentia…
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**Submitting authors:**
**Repository: https://github.com/UBC-MDS/portugal_white_wine_quality_predictor_py**
**Report link: https://rawcdn.githack.com/UBC-MDS/portugal_white_wine_quality_predic…
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I am trying to integrate different models of `sklearn` with `VWRegerssor` and `VWClassifier`.
But I am a little bit confused with VW and How it works.
Let's assume I am trying to implement/integ…
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I'm trying to use MatchIt to conduct propensity score matching. I'm using logistic regression to produce the propensity scores.
As I understand, the model is trained on all samples and predicts on…