! This paper is under review on the experimental track of the Journal of Visualization and Interaction.
This repository is the codebase for a blog post designed to illustrate the challenges that machine learning algorithms encounter when trying to fit a dataset. It is implemented in idyll, a toolkit for creating data-driven stories and explorable explanations.
It will be accessible at a public URL once it has been peer-reviewed.
The files are stored in a persistent OSF project at https://osf.io/65gre/.
From the root directory, install dependencies with node.
npm install
Then, run the server locally via the idyll
command, from the root directory.
idyll
The blog post should open in a window at localhost:3000
.