# 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

```bash
pip install myframework
```

## Quick Start

```python
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](docs/index.md).

## Examples

Check out the `examples/` directory for usage examples:

```bash
python examples/example1.py
```

## Development

1. Clone the repository
2. Install development dependencies:
   ```bash
   pip install -r requirements.txt
   ```
3. Run tests:
   ```bash
   pytest
   ```

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.