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A web-app built with streamlit to visualize and interact with machine learning models

Build Status

CI/CD pipeline setup with Travis-CI. Running on a Docker container hosted on Heroku.

demo

Polynomial Regression

demo

Voronoi Tessellation

Running the Code

The above code can be run via the Dockerfile in the project's root directory with:

docker build -t modelweave ./
docker run -p 8080:8080 -itd --name modelweave modelweave

Alternatively, the code can be run via:

pip install -r requirements.txt
streamlit run app.py

Code Contribution

Basic ML code was provided by Madhu G Nadig's repository

Progress

  • Structure the application in a more readable manner
  • Add error function equations, and weight calculations
  • Animate the visualization of Voronoi Tesselation for 1-NN
  • Add CI/CD and deploy onto cloud provider
  • Plot in plotly for interactivity