https://github.com/ccomkhj/interpretable-lightgbm
SHAP explainer for LightGBM models - Generate feature importance plots, dependence plots, and prediction explanations with one line of code. Make your gradient boosting models interpretable for stakeholders.
https://github.com/ccomkhj/interpretable-lightgbm
data-science explainable-ai feature-importance interpretable-ai lightgbm machine-learning model-explanation shap xai
Last synced: about 1 year ago
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SHAP explainer for LightGBM models - Generate feature importance plots, dependence plots, and prediction explanations with one line of code. Make your gradient boosting models interpretable for stakeholders.
- Host: GitHub
- URL: https://github.com/ccomkhj/interpretable-lightgbm
- Owner: ccomkhj
- Created: 2025-03-30T14:52:58.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-30T14:57:07.000Z (about 1 year ago)
- Last Synced: 2025-03-30T15:33:37.174Z (about 1 year ago)
- Topics: data-science, explainable-ai, feature-importance, interpretable-ai, lightgbm, machine-learning, model-explanation, shap, xai
- Language: Python
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0