MANDO is a new heterogeneous graph representation to learn the heterogeneous contract graphs' structures to accurately detect vulnerabilities in smart contract source code at both coarse-grained contract-level and fine-grained line-level. - MANDO-Project
explainer = shap.TreeExplainer(model) shap_values = explainer.shap_values(X) # visualize the first prediction's explanation (use matplotlib=True to avoid Javascript) shap.force_plot(explainer.expected_value, shap_values[0,:], X.iloc[0,:]) ML Pipline train =pd.read_csv('train.csv') test...
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu - explainX/explainx
(C) Shapley permutation explainer of the feature contribution. SHAP value reflects the contribution of the 7 most important features from the gradient boosting models toward classifying prophylactic anticoagulant administration status. SHAP value is the average marginal contribution of a feature value ...