Reweighter: Interactive Reweighting for Mitigating Label Quality Issues

Install (Docker, medical dataset)

To run the container:

sudo docker run -p 49623:49623 -t vicayang/reweighter:latest /bin/bash /autorun.sh

Then open http://localhost:49623/ in your browser.

This should reproduce the Fig. 9 in our paper (Fig. 9 is slightly different from the screenshot because we adjust the aspect ratio and add some notations to make the figure more readable in the paper).

Install (Cloth14 dataset)

1. This project uses python 3.7. Go check it out if you don't have it installed.

2. Install python package.

pip install -r requirements.txt

3. Install nodejs package: check README.md under vis for more details.

4. Download the data (link), unzip it, and put it in flask/application/data.

Run

1. run backend.

cd flask; python app.py

2. run frontend: check README.md under vis for more details.

If you encounter any issues when using this library, please feel free to contact me [email protected].