https://github.com/mpolinowski/sklearn-model-deployment

Use Flask, Docker and React.js to Deploy your SKLearn Model to the Web
https://github.com/mpolinowski/sklearn-model-deployment

docker flask-api prediction-model reactjs sklearn vitejs-react

Last synced: 5 months ago
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Use Flask, Docker and React.js to Deploy your SKLearn Model to the Web

• Host: GitHub
• URL: https://github.com/mpolinowski/sklearn-model-deployment
• Owner: mpolinowski
• Created: 2023-06-18T14:58:47.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2023-06-19T13:58:36.000Z (over 2 years ago)
• Last Synced: 2025-06-08T01:42:20.239Z (9 months ago)
• Topics: docker, flask-api, prediction-model, reactjs, sklearn, vitejs-react
• Language: Jupyter Notebook
• Homepage: https://mpolinowski.github.io/docs/IoT-and-Machine-Learning/AIOps/2023-06-17-scikit-learn-model-deployment/2023-06-17
• Size: 351 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Serving your SciKit Learn Model as a Prediction API

1. [Preparing the ML Model](https://mpolinowski.github.io/docs/IoT-and-Machine-Learning/AIOps/2023-06-17-scikit-learn-model-deployment/2023-06-17#preparing-the-ml-model)

    * Pick a SKLearn model that fits your dataset

    * Preprocess your dataset and do test trainings / hyperparameter tuning

    * Fit the model to your dataset

    * Pickle the trained model for deployment

2. [Preparing the Model API](https://mpolinowski.github.io/docs/IoT-and-Machine-Learning/AIOps/2023-06-17-scikit-learn-model-deployment/2023-06-17#preparing-the-model-api)

    * Use Flask to prepare a REST API endpoint for your model

    * Test predictions using HTTP POST requests

3. [Containerizing the Application](https://mpolinowski.github.io/docs/IoT-and-Machine-Learning/AIOps/2023-06-17-scikit-learn-model-deployment/2023-06-17#containerizing-the-application)

    * Wrap the Flask application in a Docker image

4. [React.js Frontend](https://mpolinowski.github.io/docs/IoT-and-Machine-Learning/AIOps/2023-06-17-scikit-learn-model-deployment/2023-06-17#reactjs-frontend)

    * Write a React.js frontend that can interface with your REST API

4. [Serve Frontend using the Flask App](https://mpolinowski.github.io/docs/IoT-and-Machine-Learning/AIOps/2023-06-17-scikit-learn-model-deployment/2023-06-17#adding-the-frontend)

    * Use Vite.js to render the React frontend to static HTML

    * Add a static route to your Flask app to serve the frontend from inside the Docker image

![Serving your SciKit Learn Model as a Prediction API](https://github.com/mpolinowski/sklearn-model-deployment/blob/master/04_react_frontend/SciKit_Learn_Model_API.gif)