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It would be very useful if there were partial dependence plots and variable important plots like there are for random forests and for gradient boosting (with help of the pdp package). I had to code up…
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I was trying to use partial_dependence() with "rank(0)" as the index and found that no matter what I tried the same error would be thrown (see below).
> [/usr/local/lib/python3.10/dist-packages/sha…
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Something annoying:
```
import numpy as np
import pandas as pd
from sklearn.datasets import load_breast_cancer
from sklearn.linear_model import LogisticRegression
from sklearn.inspection import …
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I tried to repeat the basic introduction into [reading shap values from the partial dependence plot](https://shap.readthedocs.io/en/latest/example_notebooks/overviews/An%20introduction%20to%20explaina…
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Partial dependence plots show the dependence between the target function (e.g. objective) and a set of ‘target’ features, marginalizing over the values of all other features (the complement features).…
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### Describe the workflow you want to enable
As discussed in #19410, there has been interest in including additional visualizations along with the partial dependence visualizations. Extra plots would…
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### Issue Description
Hi! This issue is the same as [this](https://stackoverflow.com/questions/74381596/shap-partial-dependence-subplots-issue) stack Overflow question.
I want to plot different fe…
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`compute_partial_dependence` and `plot_partial_dependence`
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There are use cases where we would like to inspect a model but we have no observed data at hand. For example if the model itself is a ensemble of models, the observed values are not easily available a…
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The function `sklearn.inspection.plot_partial_dependence` is not implemented in newer scikit-learn versions.
For example, when trying to execute the partial dependence example from chapter 09_tabular…
st0fm updated
9 months ago