MyFramework

A Python framework for machine learning workflows, providing tools for data processing, model training, and evaluation.

Features

• Data processing utilities (module1)
• Machine learning tools (module2)
• Common utility functions
• Comprehensive test suite
• Example scripts

Installation

pip install myframework

Quick Start

from myframework.module1 import process_data
from myframework.module2 import train_model, evaluate_model

# Process your data
processed_data = process_data(your_data, normalize=True)

# Train a model
model = train_model(X_train, y_train)

# Evaluate the model
metrics = evaluate_model(model, X_test, y_test)

Documentation

For detailed documentation, see the docs/ directory or visit our documentation site.

Examples

Check out the examples/ directory for usage examples:

python examples/example1.py

Development

1. Clone the repository
2. Install development dependencies:

   pip install -r requirements.txt
   

3. Run tests:

   pytest
   

License

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