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R mgcv has a `by` option for the interaction effect of penalized splines and a categorical variables.
I don't know yet how we will support this. patsy can create the interaction term using its spli…
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Request for project inclusion in scikit-learn-contrib
* Project name: Splinator
* Project description: Probabilistic Calibration with Regression Splines
* Authors: Affirm
* Current repository: h…
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Amazing stuff. From what I can tell, you use simple decision trees as your [base estimator](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html#sklearn.ensemble.Ba…
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`add_lowess` is very convenient, just one line to add it to a new plot
e.g. smoothed endog for Logit as a function of predicted probabilities
(usecase calibration or reset plots #6430 or regressio…
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**Is your feature request related to a problem? Please describe.**
Currently, the smooth calibration functions only assume binary outcomes.
**Describe the solution you'd like**
Add a function tha…
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(Note: please add information, I (Josef) don't have an overview)
e.g.
http://stats.stackexchange.com/questions/152280/forecasting-values-based-on-day-of-week-and-hour
One alternative is to work with…
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[`impute_capital_gains`](https://github.com/PolicyEngine/policyengine-uk/blob/f89baee294f74990c26f024cdb32125610169b38/policyengine_uk/data/datasets/frs/imputations/capital_gains.py#L41) currently int…
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**Understand the B-splines application TTDE paper**
TTDE paper
https://arxiv.org/pdf/2108.00089.pdf
sec 2.1 and 2.2
Code
Trainer (Model Setup)
https://github.com/stat-ml/TTDE/blob/master/ttd…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Problem description
I have reduce the problem on a simple geometry - i call it bspline wall (thinkness o…
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shrinking the endog is another principle that allows reuse of existing methods for robust regression. This is similar to winsorizing and an alternative to trimming or dropping outliers (e.g. #3273 #9…