abssent / 02-tooling-for-data-scientist-assignment

Final assignment for the *02-tooling-for-data-scientist* sessions

Final assignment for the 02-tooling-for-data-scientist sessions

Demo-project: Demonstration of a minimization process of the Rosenbrock function.

In this project you can visualize the behaviour of the argument value change during the Rosenbrock function optimization using the Gradient Descent algorithm. Feel free to tweak related Learning rate and Optimization step widgets.

In order to run demo:

1. Clone and cd into the root of the project;
2. Build the dockerfile: docker build -t streamlit .
3. Run the docker container: docker run -p 8501:8501 streamlit

Finally, use this link to access the demo from your browser: http://localhost:8501

IMPORTANT: by default, docker will propose you to open an application via http://0.0.0.0:8501. If it is not working, you must use the link provided above.