dsgibbons / shapLinks
A game theoretic approach to explain the output of any machine learning model.
β26Updated 2 years ago
Alternatives and similar repositories for shap
Users that are interested in shap are comparing it to the libraries listed below
Sorting:
- π Puncc is a python library for predictive uncertainty quantification using conformal prediction.β346Updated 2 months ago
- An extension of LightGBM to probabilistic modellingβ329Updated 3 weeks ago
- Quantile Regression Forests compatible with scikit-learn.β240Updated last week
- Probabilistic prediction with XGBoost.β114Updated 5 months ago
- Scikit-Learn API wrapper for Keras.β249Updated 8 months ago
- Multiple Imputation with LightGBM in Pythonβ387Updated last year
- Repository for CARTE: Context-Aware Representation of Table Entriesβ143Updated 3 weeks ago
- Python package for conformal predictionβ516Updated 2 months ago
- Scikit-learn compatible decision trees beyond those offered in scikit-learnβ84Updated last week
- β202Updated this week
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Dataβ163Updated last week
- π Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecasterβ112Updated 4 months ago
- Fast SHAP value computation for interpreting tree-based modelsβ541Updated 2 years ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.β1,449Updated last week
- Effector - a Python package for global and regional effect methodsβ115Updated last month
- Shapley Interactions and Shapley Values for Machine Learningβ608Updated last week
- Flexible time series feature extraction & processingβ427Updated 11 months ago
- python implementation of catch22β85Updated last month
- For calculating global feature importance using Shapley values.β274Updated this week
- An extension of XGBoost to probabilistic modellingβ643Updated 3 weeks ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.β628Updated last year
- Competing Risks and Survival Analysisβ105Updated last month
- Calculates various features from time series data. Python implementation of the R package tsfeatures.β421Updated last year
- A power-full Shapley feature selection method.β210Updated last year
- Python Accumulated Local Effects packageβ169Updated 2 years ago
- A scikit-learn-compatible module for comparing imputation methods.β138Updated this week
- High performance Python GLMs with all the features!β356Updated last month
- All Relevant Feature Selectionβ139Updated 5 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)β160Updated 2 years ago
- A drop-in replacement for Scikit-Learnβs GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.β467Updated last year