Getting Started with Amega AI

This guide will help you get up and running with Amega AI quickly.

Prerequisites

• Python 3.8 or higher
• pip package manager
• Git (for version control)
• Virtual environment (recommended)

Installation

1. Clone the Repository

git clone https://github.com/yourusername/amega-ai.git
cd amega-ai

1. Create Virtual Environment

python -m venv venv
source venv/bin/activate  # On Windows: .\venv\Scripts\activate

1. Install Dependencies

pip install -r requirements.txt

Quick Start Example

Here's a simple example to get you started with model training:

from amega_ai import Model, Dataset

# Load example dataset
dataset = Dataset.load_example("sentiment")

# Create a model
model = Model.create("sentiment-classifier")

# Train the model
model.train(dataset, epochs=5)

# Make predictions
text = "This product exceeded my expectations!"
prediction = model.predict(text)
print(f"Sentiment: {prediction}")

Next Steps

1. Check out our Installation Guide for detailed setup instructions
2. Learn about Configuration options
3. Explore the API Documentation
4. Join our Community for support