Tag: modelDown

modelDown is now on CRAN!


The modelDown package turns classification or regression models into HTML static websites.
With one command you can convert one or more models into a website with visual and tabular model summaries. Summaries like model performance, feature importance, single feature response profiles and basic model audits.

The modelDown uses DALEX explainers. So it’s model agnostic (feel free to combine random forest with glm), easy to extend and parameterise.

Here you can browse an example website automatically created for 4 classification models (random forest, gradient boosting, support vector machines, k-nearest neighbours). The R code beyond this example is here.

Fun facts:

– archivist hooks are generated for every documented object. So you can easily extract R objects from the HTML website. Try

archivist::aread("MI2DataLab/modelDown_example/docs/repository/574defd6a96ecf7e5a4026699971b1d7")

– session info is automatically recorded. So you can check version of packages available at model development (https://github.com/MI2DataLab/modelDown_example/blob/master/docs/session_info/session_info.txt)

– This package is initially created by Magda Tatarynowicz, Kamil Romaszko, Mateusz Urbański from Warsaw University of Technology as a student project.

modelDown: a website generator for your predictive models

I love the pkgdown package. With a single line of code you can create a complete website with examples, vignettes and documentation for your package. Brilliant!

So what about a website generator for predictive models?
Imagine that you can take a set of predictive models (generated with caret, mlr, glm, xgboost or randomForest, anything) and automagically generate a website with an exploration/documentation for these models. A documentation with archvist hooks to models, with tables and graphs for model performance explainers, conditional model response explainers or explainers for particular predictions.

During the summer semester three students from Warsaw University of Technology (Kamil Romaszko, Magda Tatarynowicz, Mateusz Urbański) developed modelDown package for R as an team project assignment. You can find the package here. Visit an example website created with this package for four example models (instructions). And read more about this package at its pkgdown website or below.

BTW: If you want to learn more about model explainers, please come to our DALEX workshops at WhyR? 2018 conference in Wroclaw or UseR! 2018 conference in Brisbane.

Getting started with modelDown
by Kamil Romaszko, Magda Tatarynowicz, Mateusz Urbański

Introduction

Did you ever want to have one place where you can find information explaining your model? Or maybe you were missing a tool that can show difference in multiple models for the same dataset? Well, here comes modelDown package. By using DALEX package, it creates one html page with plots and information related to the model(s) you want to analyze.

If you want to check out example website generated with modelDown, check out this link (along with script that was used to create the html). Read on to see how to use package for your own models and what features it provides.

The examples presented here were generated for dataset HR_data from breakDown package (available on CRAN). The dataset contains various information about employees (for example their satisfaction from work or their salary). The information we predict is whether they left the company.

Installation
First things first – how can you use this package? Install it from github:

devtools::install_github("MI2DataLab/modelDown")

Czytaj dalej modelDown: a website generator for your predictive models