-
I'm sat in your AMS talk, and this package looks really cool!
### Is your feature request related to a problem?
I made the [xarray-datatree package](https://github.com/xarray-contrib/datatree), …
-
### Issue Description
I'm struggling with some inconsistencies between different tree based models when passing `'probability'` vs `'predict_proba'` as the `model_output` to a shap `TreeExplainer`.…
-
Porter.py incorrect❗
------------------------------------------------
....
from sklearn.metrics import accuracy_score
from sklearn.tree.tree import DecisionTreeClassifier
from sklearn.ensemble.we…
-
a) Compute and provide SHAP contribs for non- tree based models.
b) Compute and provide SHAP contribs for ensemble models.
-
Currently, the examples here https://github.com/LorenzoCazzaro/Verifiable-Learning-Robust-Tree-Ensembles/tree/master/src/carve point to some non-existing files. We should fix this.
See here https:/…
jermp updated
3 months ago
-
## Overview
As per discussion on #2893, it looks the shape of `shap_values` returned by TreeExplainer is inconsistent. It has:
- shape `(n_samples, n_features)` if the background dataset is passed…
-
## 一言でいうと
予測結果がNGだったとき、ではどうすればOKに持って行けるのか？に答えを出すことを試みた論文。決定木を用いたアンサンブル学習をベースとした手法で、各決定木においてNGなxをOKに持って行くための変更量を算出し、その中から最小の変更量を求めることで最小コストでOKにする変更を求める
### 論文リンク
https://arxiv.org/abs/1706.066…
-
Tree ensmbles now have a new `decision_path` method that rturns a boolean matrix indicating which item falls under which node. At the same time the existing `transform` method on these estimators is b…
-
-
**Is your feature request related to a problem? Please describe.**
An implementation to IsolationForest (unsupervised tree based anomaly detection). The scikit has the following implementation https:…