Metadata-Version: 2.2
Name: ahsentahir-myframework
Version: 0.1.0
Summary: A Python framework for ML workflows(this one is for testing purpose only)
Home-page: https://github.com/AhsenTahir/Py_Framework.git
Author: Your Name
Author-email: ahsentahir007@gmail.com
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy==1.23.5
Requires-Dist: pandas==1.5.3
Requires-Dist: scikit-learn==1.2.2
Requires-Dist: torch>=2.0.0
Requires-Dist: torchvision>=0.15.0
Requires-Dist: pytest>=6.0.0
Requires-Dist: black>=21.0
Requires-Dist: isort>=5.0.0
Requires-Dist: pytest-cov>=2.12.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# 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.
