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### Evaluation
- [ ] [Confusion matrices](https://towardsdatascience.com/understanding-confusion-matrix-a9ad42dcfd62)
- [Source 2](https://en.wikipedia.org/wiki/Confusion_matrix)
- [ ] [Precision…
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Description of the model(s) we will use. Start with linear regression, (we will most likely be using a variation of linear regression called **ridge regression**)
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The [examples in the docs](https://theogf.github.io/KernelFunctions.jl/dev/example/) is currently lacking, so it would be good to provide some examples.
Currently we have to fill out the following
…
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### Describe the workflow you want to enable
Other linear models on https://scikit-learn.org/1.5/modules/linear_model.html have regularization that doesn't depend on the dataset size
### Describe yo…
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consider using ridge regression for regularization at the test step:
`\argmin[\chi(l)^2 + \lambda(v(l).w)^2]`
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### pycaret version checks
- [X] I have checked that this issue has not already been reported [here](https://github.com/pycaret/pycaret/issues).
- [X] I have confirmed this bug exists on the [latest…
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Additionaly to the simple minimization, it should be possible to specify multiple inverse kinematics algorithms.
Both for open and closed chains.
Examples include back propagation, newton, ridge and l…
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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…
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How to decide what range of alphas to try in ridge regression
lasso_cv = LassoCV(normalize=True, alphas=np.logspace(-10, 1, 400))
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Hi. Thanks for keeping everything updated here. I noticed there are some differences between the SNGP implementation here and what is described in the paper which leaves a few questions I am curious a…