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If you're working on one of these files, please add the url to your branch or the pull request. Mark the box if the changes are merged with `master`.
#### R-files
- [ ] `clustering.R`
- [x] `exp…
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I am trying to to do it for 3 channel images with 2 classes.
on running the following code
```python
from utils import plot, plt
%matplotlib inline
n_cols = 4
n_rows = int(len(attributions_gradi…
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Petite liste de refs utiles pour un futur chapitre sur cette question:
- [package `shap`](https://shap.readthedocs.io/en/latest/example_notebooks/overviews/An%20introduction%20to%20explainable%20AI…
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### Issue Description
Given $x$ which is the sample that we wish to explain, we can compute the Shapley values of that sample using a background sample $x^b$. By providing the Explainer class with ba…
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Elastic ML utilizes Shapley Values to determine feature importance.
For boosted regression trees, a simple form of this is to know the number of samples from the training data that "landed" in eac…
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1. Shapley value https://en.wikipedia.org/wiki/Shapley_value
solution for defining contribution to the group.
https://www.youtube.com/watch?v=MHS-htjGgSY
2. If a member of coalition contributes …
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I got following error while running shap_interaction_values. but shap_values is running fine.
I tried with both lgb 2.2.2 and 2.2.3 with shap 0.28.5 it returns the same error.
----> 1 shap_interac…
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**Addition Description**
SHAP is one of the state-of-the-art methods for computing feature importance using concepts from game theory.
Briefly, for each prediction, SHAP will estimate how much each …
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## Detailed Description
The current solar forecasting model is a gradient boosted tree model, which can achieve high predictive accuracy but often lacks interpretability. It is proposed to eval…
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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…