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### Describe the bug
(From discussion in https://github.com/scikit-learn/scikit-learn/discussions/26733)
In one of my dataset, I try to specify only one value in alphas in RidgeCV, and expects R…
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Reference - [https://corporatefinanceinstitute.com/resources/data-science/elastic-net/#:~:text=What%20is%20Elastic%20Net%3F,the%20regularization%20of%20statistical%20models.](url)
Elastic Net is a …
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In the intro example we have:
```py
# %%
import pandas as pd
df = pd.DataFrame(gs_cv.cv_results_)
df.insert(len(df.columns), "rmse", -df["mean_test_score"].values)
df[["param_alpha", "rmse"]…
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Hello Steffen, How are you doing?
Thanks for keeping this package.
I'm thinking of using your package for a set of panel data, 30 years, 38 c_id.
Your package can be used for such setting?
…
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### Describe the workflow you want to enable
Currently, Kernel Ridge Regression as implemented in `sklearn.kernel_ridge.KernelRidge` does not support an intercept like e.g. `sklearn.svm.SVR` does. Th…
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Hello, it seems that in FP and BLAC experiments, the ridge regression worked well in validation set. However, both in my hand and in examples from Ivan's re-implementation, the ridge regression sucess…
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В финальной формуле весов не хватает домножения на $X^T$. Должно быть:
$$\widehat{w}=(X^T X - \lambda I)^{-1} X^Ty$$
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Using 100 KDE features and all the categorical variables, I end up with a dataset that's `840x6578` so I'm inclined to do ridge regression. I tried to implement it in Stan but it's taking forever to s…