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Thanks for creating such a tool for Python partial dependence plot. I do find an issue, though. Right now in my project, the trained model is wrapped as a pipeline. Incoming data would have a handful …
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### Describe the workflow you want to enable
Currently, partial dependence plots (PDP) and ICE profiles can be conveniently visualized by calling `PartialDependenceDisplay.from_estimator`. This wor…
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1. Description
Plot surrogate and infill criterion for a single iteration.
2. Open topics
- [ ] visualization of 2d space (if time remaining)
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Currently most of the plotting tools available in scikit-learn are related to classification (https://scikit-learn.org/stable/modules/classes.html#id3). It would be good to add more visualizers for re…
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*Issue migrated from trac ticket # 2857*
**milestone:** HeuristicLab 3.3.x Backlog | **component:** Problems.DataAnalysis.Views | **priority:** medium
#### 2017-11-18 09:37:32: @gkronber created the…
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Initial Visualization Design:
DATA EXPLORATION 1
Plots for All Features (pop-up window, accessed from some central location - maybe by right-clicking a…
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Thanks for sharing a great package. I am interesting in generating some PDPs for a project that uses `XGBoost` for fitting, where many of the predictors are categorical. I was having trouble getting `…
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> **New Functions**
- [ ] Explore variable selection based on univariate model performance, see [Oeser et al., 2024](https://onlinelibrary.wiley.com/doi/10.1111/geb.13911)
- [ ] New function to calc…
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Am looking to 'modernize' my approach and switch from partial dependence plots to Shapely plots. Shapley values are computationally demanding and would like to take advantage of the TreeSHAP algorithm…