A game theoretic approach to explain the output of any machine learning model.
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Dec 13, 2024 - Jupyter Notebook
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shapley
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Shapley Interactions for Machine Learning
python machine-learning interpretability shapley shap explainability feature-interactions shapley-interactions shapiq
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Dec 20, 2024 - Python
For calculating global feature importance using Shapley values.
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Dec 23, 2024 - Python
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
classifier machine-learning deep-learning random-forest ensemble ensemble-learning game-theory voting-classifier random-forest-classifier explainable-ai explainable-ml weighted-voting-games shapley owen shapley-value game-theory-toolbox voting-game
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Jul 1, 2023 - Python
Explaining the output of machine learning models with more accurately estimated Shapley values
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Dec 23, 2024 - R
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
data-science machine-learning deep-learning artificial-intelligence lime explainable-artificial-intelligence explainable-ai explainable-ml xai shapley shap explainability shapley-decomposition explainable shapley-value shapley-q-value shapley-additive-explanations owen-value
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Aug 8, 2022
Fast approximate Shapley values in R
variable-importance explainable-ai explainable-ml xai shapley interpretable-machine-learning shapley-values
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Feb 22, 2024 - R
Multi-Touch Attribution
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Feb 26, 2022 - Python
ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.
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Aug 31, 2022 - Jupyter Notebook
Amazon SageMaker Solution for explaining credit decisions.
machinelearning financial-analysis credit-scoring explainable-ai explainable-ml sagemaker loan-prediction-analysis shapley explainability aws-sagemaker
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May 11, 2023 - Python
A Julia package for interpretable machine learning with stochastic Shapley values
julia feature-importance shapley interpretable-machine-learning iml shap shapley-value stochastic-shapley-values
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May 6, 2024 - Julia
streamlit-shap provides a wrapper to display SHAP plots in Streamlit.
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Jul 21, 2022 - Python
Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
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Nov 30, 2023 - R
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
package machine-learning r ensemble r-package causality causal-inference feature-importance causal-networks shapley interpretable-machine-learning iml shap shapley-value shapley-values
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Jun 9, 2020 - R
For calculating Shapley values via linear regression.
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Jun 6, 2021 - Python
A lightweight implementation of removal-based explanations for ML models.
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Jul 19, 2021 - Python
Shapley Values with H2O AutoML Example (ML Interpretability)
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Mar 17, 2019 - HTML
Counterfactual SHAP: a framework for counterfactual feature importance
machine-learning xgboost feature-importance explainable-artificial-intelligence explanations explainable-ai explainable-ml shapley tree-based shap explainability counterfactual-explanations shapley-values feature-attribution counterfactuals explainable-machine-learning algorithmic-recourse facct2022
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Jul 6, 2023 - HTML
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