Model fitting to experimental data was done by nonlinear curve-fitting in the least-squares sense using the Levenberg-Marquardt algorithm (MATLAB built-in function). Briefly, the best-fitting parameter set was derived by fitting model to mean value of bond lifetime vs force profile, and SE of...
Deep SHAP is a high-speed approximation algorithm for SHAP values in deep learning models that builds on a connection withDeepLIFTdescribed in the SHAP NIPS paper. The implementation here differs from the original DeepLIFT by using a distribution of background samples instead of a single reference ...
Deep SHAP is a high-speed approximation algorithm for SHAP values in deep learning models that builds on a connection withDeepLIFTdescribed in the SHAP NIPS paper. The implementation here differs from the original DeepLIFT by using a distribution of background samples instead of a single reference ...
machine learning model, we have developed a high-speed exact algorithm for ensemble tree methods (Tree SHAP paper). This has been integrated directly into XGBoost and LightGBM (make sure you have the latest checkout of master), and you can use theshappackage for visualization in a Jupyter ...