In this post, I’ll show you how to create a working prototype of a web application with a working machine learning model in 50 lines of Python code. Imagine you have a cool project idea. Now you need to implement MVP (minimum viable product) and show it to your manager / partner / investor or just show off to your friends.
We will be using BentoML. It is a flexible, high-performance platform that is ideal for building an MVP.
BentoML features:
- supports multiple machine learning frameworks including Tensorflow, PyTorch, Keras, XGBoost, and more.
- own cloud deployment with Docker, Kubernetes, AWS, Azure and many more
- high performance online service via API
- web dashboards and APIs for managing model registry and deployment
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