Ekeany/Boruta-Shap
A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
PythonMIT
Issues
- 2
[BUG]
#131 opened by narminjabbarli - 0
- 1
- 0
- 24
[BUG] BorutaSHAP.py load Boston Import Error
#111 opened by HishamSalem - 0
[BUG] Feature importance not evaluated on test set when setting train_or_test = 'test'
#126 opened by wilmar-thomas - 0
[BUG] importance_measure has a default value that causes an error in the fit() method
#125 opened by treyworl - 0
Mean of the coefficients
#124 opened by mariastolbova - 1
[BUG] Histogram Gradient Boosted Trees produce errors with missing values in the dataset
#122 opened by cvraut - 1
- 2
- 0
- 0
MIssing import for inspect
#120 opened by matheusvasconcellosb - 0
- 1
[BUG] broken link in docs
#89 opened by venaturum - 1
- 0
[BUG] TentativeRoughFix() creates duplicates in the accepted/rejected feature lists
#102 opened by MauritsDescamps - 1
Hi, I am having trouble with a task in BorutaSHAP which is stuck at 0% progression apparently.[BUG]
#112 opened by federiconuta - 0
- 0
- 1
[FEATURE] Add a transform method
#81 opened by AlvaroMatsuda - 0
Add more model evaluation metrics
#99 opened by Marktus - 0
[ENH] Early stopping criterion
#98 opened by MauritsDescamps - 0
[ENH] Randomize train/test split
#97 opened by MauritsDescamps - 0
- 10
- 5
[BUG] Misplaced important features
#73 opened by 564C52 - 1
- 0
- 5
Shadow features in the final features
#72 opened by ivanpanshin - 0
- 0
o
#70 opened by yuanjie-ai - 1
- 1
[BUG] create_shadow_features () - LightGBM + BorutaShap - AttributeError: 'Series' object has no attribute 'select_dtypes'
#65 opened by brendanwee - 1
Cannot make RF or XGBoost run multithread
#63 opened by alejandrofm - 0
- 3
[BUG] check_missing_values() for methods that can handle missing data is faulty
#59 opened by rahimai - 1
[ENH] train_test_split doesn't support splitting by group as required for pairwise learning
#57 opened by gdupret - 3
- 1
Having trouble in running[BUG]
#55 opened by Hepburnn - 1
- 6
[ENH] HDBSCAN for downsampling
#43 opened by brunofacca - 4
How best to interpret the borutashap plots?
#45 opened by hlnicholls - 0
[FEATURE] RFECV
#46 opened by rspadim - 2
BorutaShap throws error if there are missing values in the data even if the model used is lightgbm [BUG]
#44 opened by Nitinsiwach - 0
- 3
Enable logistic regression as supported model
#39 opened by yedide - 2
[ENH] Reference for isolation forest sampling
#33 opened by lgmoneda - 1
[ENH] Create a support_ attribute to avoid error in generating a dataframe report or to select in a sklearn way
#38 opened by cfrancois7 - 1