semvec/pypi-packages huggingface dataset:
hazyhorizon 0.1.2
Non-paradigmatic support for time series processing and forecasting
License: Apache-2.0
Requires Python: >=3.11
Keywords: data-science, forecasting, machine-learning, time-series

# Hazy Horizon

[![PyPI version](https://badge.fury.io/py/hazyhorizon.svg)](https://badge.fury.io/py/hazyhorizon)
[![Python versions](https://img.shields.io/pypi/pyversions/hazyhorizon.svg)](https://pypi.org/project/hazyhorizon/)

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

### Using uv (recommended)

```bash
uv add hazyhorizon
```

### From PyPI

```bash
pip install hazyhorizon
```

### From Source

```bash
git clone https://github.com/Pawel-Kranzberg/hazyhorizon.git
cd hazyhorizon
pip install -e .
```

## 📋 Requirements

- Python >= 3.11
- scipy >= 1.11.4
- scikit-learn >= 1.4.2

## 🎯 Features

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

## 📖 Usage

```python
import hazyhorizon as hh

# 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

- [PyPI Package](https://pypi.org/project/hazyhorizon/)
- [GitHub Repository](https://github.com/Pawel-Kranzberg/hazyhorizon)
- [Issue Tracker](https://github.com/Pawel-Kranzberg/hazyhorizon/issues)