uday160386/ml-model-as-rest-api

A simple example on how to provide ML model (DecissionTreeClassifier) as a REST Service. The app is containerize and deployed in Azure Cloud

ML Model Integration and Deployment

Steps:

• DecisionTreeClassifier model is used for prediction
• Model is exposed as a Rest API using FAST API
• Model is deployed as Azure Function

How to Run locally?

uvicorn main:app --reload

App Docs:

http://localhost:8000/redoc http://localhost:8000/docs#/default/form_create_iris_post

Data Set to train model

IRIS Dataset from scikit-learn

Docker:

Docker image at hub: venmaum/ml-simple-app

References:

https://scikit-learn.org/stable/modules/tree.html