Agin

Agin is a one-stop machine learning solution designed to streamline your ML workflows with easy-to-use utilities and a flexible structure.

Features

• Modular design for efficient machine learning workflows.
• Easy integration with existing Python projects.
• Simple and intuitive API.

Installation

To install the package, use:

pip install AginPy

Usage

Once installed, you can import and use the library as follows:

from agin import Health

# Create an instance of the Health class
h = Health()

# Check health status
print(h.check_health())  # Output: Health status: Good

Setting up the Project Locally

Step 1: Clone the Repository

Clone this repository to your local machine:

git clone https://github.com/Agnik7/Agin.git
cd Agin

Step 2: Set Up a Virtual Environment

It's recommended to use a virtual environment for managing dependencies. Below are instructions for setting up a virtual environment on different platforms.

Windows

1. Open a terminal (Command Prompt or PowerShell).
2. Run the following commands:

   python -m venv venv
   venv/Scripts/activate
   

Linux/MacOS

1. Open a terminal.
2. Run the following commands:

   python3 -m venv venv
   source venv/bin/activate
   

To deactivate the virtual environment (on any platform), simply run:

deactivate

Step 3: Install the Package in Editable Mode

Install the package in editable mode to allow for modifications during development:

pip install -e .

Contributing

Contributions are welcome! To contribute:

1. Fork the repository.
2. Create a new branch for your changes.
3. Submit a pull request with a detailed description of your changes.

License

This project is licensed under the GNU General Public License. See the LICENSE file for details.