A simple example of python api for real time machine learning.
On init, a simple linear regression model is created and saved on machine. On request arrival for prediction, the simple model is loaded and returning prediction.
For more information read this post
docker installed
docker build . -t {some tag name}
detached : docker run -p 3000:5000 -d {some tag name}
interactive (recommended for debug): docker run -p 3000:5000 -it {some tag name}
python -m venv env
source env/bin/activate
python -m pip install -r ./requirements.txt
python app.py
127.0.0.1:3000/isAlive
127.0.0.1:3000/prediction/api/v1.0/some_prediction?f1=4&f2=4&f3=4