shap

#计算机科学#A game theoretic approach to explain the output of any machine learning model.

翻译 - 一种解释任何机器学习模型输出的博弈论方法。

#计算机科学#🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

翻译 - Shapash使机器学习模型透明且每个人都可以理解

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

翻译 - 快速构建可解释的 AI 仪表板，显示所谓的“黑盒”机器学习模型的内部工作原理。

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

#计算机科学#Fast SHAP value computation for interpreting tree-based models

#计算机科学#Shapley Interactions and Shapley Values for Machine Learning

利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and pre...

#计算机科学#A power-full Shapley feature selection method.

TimeSHAP explains Recurrent Neural Network predictions.

#计算机科学#Automated Tool for Optimized Modelling

#计算机科学#Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

#计算机科学#Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.

#计算机科学#Explainable Machine Learning in Survival Analysis

A Julia package for interpretable machine learning with stochastic Shapley values

#计算机科学#SHAP Plots in R

#计算机科学#streamlit-shap provides a wrapper to display SHAP plots in Streamlit.

#学习与技能提升#SurvSHAP(t): Time-dependent explanations of machine learning survival models

#计算机科学#Compute SHAP values for your tree-based models using the TreeSHAP algorithm

#计算机科学#Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

#计算机科学#An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model