dalex: Responsible Machine Learning in Python

Install from PyPI

pip install dalex

Explainability

Explanatory Model Analysis Book with examples in Python

Introduction to dalex Titanic: tutorial and examples

Key features explained FIFA 20: explain default vs tuned model with dalex

Multioutput predictive models Explaining multiclass classification and multioutput regression

More explanations residuals, shap, lime

Aspect module in dalex Case study - German Credit data

How to use dalex with XGBoost Titanic classification example

How to use dalex with TensorFlow Happiness regression example

Compare various models ft. h2o, autokeras, catboost, lightgbm

Tutorial: Basic XAI

Basic XAI: Introduction

Variable importance Using permutation-based method

Partial Dependence profile

Break Down method

Shapley values

LIME method

Ceteris Paribus profiles

Fairness

Fairness module in dalex Case study - German Credit data

Tutorial on bias detection Case study - COMPAS Recidivism data

Tutorial: fairness in regression Case study - Communities and Crime data

Interactive analysis

Arena module in dalex Introduction to the Arena dashboard features

Getting Started & Demos Arena documentation

Materials & blogs

Jupyter Notebooks

EMA Workshop Materials from Explanatory Model Analysis Workshop @ eRum 2020

Tools for Explainable AI Talk about dalex @ X-Europe Webinars 2020

Hey, ML engineer! Is your model fair? Poster on fairness @ MLinPL 2020

XAI in Python with dalex Introduction to the dalex package

Introductory videos

About Introductory videos for Explanatory Model Analysis

Introduction to the Explanatory Model Analysis

Break Down in Python

Documentation

API Reference Python documentation with pdoc

Paper Journal of Machine Learning Research

Citation BibTeX format

GitHub repository with code

How to add a new model? Developer instruction: model

How to add a new explanation? Developer instruction: explanation

How to add a new fairness metric? Developer instruction: fairness metric

Attributions

TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.
XGBoost logo are treademarks of Distributed (Deep) Machine Learning Community.