Implementation of linear regression of the Boston house prices dataset on a web app by Streamlit.

We create a web app by Streamlit, a python library for turning a python script into a web app.

You can easily install and get started in streamlit.

pip install streamlit

You can get started in the web app in this repository by the following procedure. To prepare an environment, we use docker.

1. Create a docker image from Dockerfile.

   docker build .

2. Run a docker container created from the docker image.

   docker run -it -p 8888:8888 -v ~/(local dir)/:/work (IMAGE ID) bash

   Note that "-p 8888: 8888" is an instruction to connect the host(your local PC) with the docker container. The first and second 8888 indicate the host’s and the container's port numbers, respectively.

3. Turn a python script into a web app by Streamlit

   streamlit run regression_on_streamlit.py --server.port 8888

   Note that, by "--server.port 8888", we can access a web app from a web browser with the URL "localhost: 8888".