Overview

The modelStudio package automates the Explanatory Analysis of Machine Learning predictive models. It generates advanced interactive model explanations in the form of a serverless HTML site with only one line of code. This tool is model agnostic, therefore compatible with most of the black box predictive models and frameworks (e.g. mlr/mlr3 , xgboost , caret , h2o , parsnip , tidymodels , scikit-learn , lightgbm , keras/tensorflow ).

The main modelStudio() function computes various (instance and dataset level) model explanations and produces a customisable dashboard, which consists of multiple panels for plots with their short descriptions. Easily save the dashboard and share it with others. Tools for Explanatory Model Analysis unite with tools for Exploratory Data Analysis to give a broad overview of the model behavior.

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