hazyhorizon


Namehazyhorizon JSON
Version 0.1.0 PyPI version JSON
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home_pageNone
SummaryNon-paradigmatic support for time series processing and forecasting
upload_time2025-07-14 08:23:00
maintainerNone
docs_urlNone
authorNone
requires_python>=3.11
licenseApache-2.0
keywords data-science forecasting machine-learning time-series
VCS
bugtrack_url
requirements No requirements were recorded.
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            # Hazy Horizon

Non-paradigmatic support for time series processing and forecasting. Since prediction is very difficult, especially if it is about the future.

## ⚠️ Development Status

The current state remains a work in progress, with ongoing developments anticipated. Do not expect anything to work correctly at this stage.

## 🚀 Installation

```bash
pip install hazyhorizon
```

## 📋 Requirements

- Python >= 3.11
- scipy >= 1.15.2
- scikit-learn >= 1.6.1

## 🎯 Features

- Time series processing utilities
- Forecasting support (in development)
- Non-paradigmatic approach to prediction
- Integration with scipy and scikit-learn

## 📖 Usage

```python
import hazyhorizon

# More documentation coming soon...
```

## 🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## 📄 License

This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.

## 🔗 Links

- [GitHub Repository](https://github.com/Pawel-Kranzberg/hazyhorizon)
- [Issue Tracker](https://github.com/Pawel-Kranzberg/hazyhorizon/issues)

            

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