bentoml_sklearn

BenoML Service for ML Hosting using a dummy model + data from Scikit Learn.
The repo contains:

• client.py - A simple python file for sending a request and getting a response.
• model_loader.py - A python file which uses bentoml model storage and loads a model, alongside sending a dummy predict method.
• model_trainer_saver.py - A python file which trains a classification model (C-Support Vector Classification), and saves it in bentoml storage.
• requirements.txt - self explanatory

Installation tutorial:

• clone project
• install requirements with pip install -r requirements.txt
• Build using bentoml serve iris_cls:latest --production. Note: there might be a bug here, per March 5th, 2022.
  If that's the case, build without the production flag.