A browser interface for visualizing results (e.g. training accuracy) saved by Ludwig, a job submission system used at the UIUC Learning & Language lab.
- View jobs submitted to Ludwig
- Visualize job results - e.g. plot performance of neural network over time
- flask - the web app framework
- pandas - representing and working with tabular data
- altair - a fantastic visualization API for python
- Google Material Design Lite - css classes for styling
Navigate to the root director, then enter:
python -m flask run
Pycharm uses this method, and sets FLASK_ENV to "development'.
Requires Python >= 3.5.3 (due to altair dependency)
If access to the shared drive (owned by UIUC Learning & Language Lab) is not available, the application will load dummy data from a dummy location. This is useful for development.