sideffect263/DT_Model_Trainer_BE

The Decision Tree Model Trainer Backend is a server-side application built with Node.js and Python. It is designed to handle the training of decision tree models based on user input.

Decision Tree Model Trainer Backend 🧠

This repository contains the backend server for the Decision Tree App, responsible for training decision tree models. The backend is built using Node.js and Python.

Features ✨

• Train decision tree models based on user input.
• Handle model training requests and responses.
• Integrate seamlessly with the frontend application.

Installation 🛠️

To run this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/sideffect263/DT_Model_Trainer_BE.git
   cd DT_Model_Trainer_BE

2. Install Node.js dependencies:

   npm install

3. Install Python dependencies:

   pip install -r requirements.txt

4. Start the server:

   node server.js

   The server will run on http://localhost:5000.

Usage 🚀

The backend server provides API endpoints for model training. To integrate with the frontend application, ensure the server is running and accessible.

Available Scripts 📜

In the project directory, you can run:

node server.js

Starts the backend server.

Contributing 🤝

Contributions are welcome! Please follow these steps to contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -m 'Add new feature').
5. Push to the branch (git push origin feature-branch).
6. Open a pull request.

Feel free to check the issues page for ideas on what to work on, or to report bugs and request features.

License 📄

This project is licensed under the MIT License. See the LICENSE file for details.

Contact 📧

If you have any questions, feel free to reach out to the repository owner.

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This backend server works in conjunction with the Decision Tree App frontend.