shap topic

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 visua...

jiangnanboy

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

mljar

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

oegedijk

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

MAIF

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

cerlymarco

A game theoretic approach to explain the output of any machine learning model.

shap

An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model

nredell

Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

dylan-slack

A Julia package for interpretable machine learning with stochastic Shapley values

nredell

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

ing-bank