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### Describe the bug
Using the Bayesian Ridge Regression with MultiOutputRegression(n_jobs=-1) consumes all the memory on the computer and the process dies. (Tested with 128G Ram + 128G Swap)
### St…
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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…
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Can I add few more algorithms?like lightgbm,catboost,arima etc
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### Description
Welcome to 'DSWP' Team, good to see you here
in this issue, you will make a tutorial about Bayesian Ridge and implement it using Scikit-learn
To get assigned to this issue, a…
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### Describe the issue linked to the documentation
In the documentation for [Bayesian ridge regression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.BayesianRidge.html) th…
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I've experimented with a few ways of implementing Bayesian ridge (for example), and the proliferation of functions has gotten a bit confusing. Now that more people are starting to use them, it's cruci…
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It has been shown that other evolutionary algorithms frameworks are developing visualization tools. We need to develop a separate module for this type of functions. Some references here:
[1] Shine, W…
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Allow to pass a semi-positive matrix such that the objective function is
```
β = inv(X.'W * X + Γ) * X.'W * y
```
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**Version 0.2**
Id | Models | Code | Test | Documentation
--- | ---------------------------------- | -------- |--------|--------------…
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**Algorithms**
* Linear Model
- [x] Ordinary Least Squared Linear Regression
- [x] Gradient Descent Linear Regression
- [x] Stochastic Gradient Descent Linear Regression
- [x] Logist…