Metadata-Version: 2.1
Name: remodels
Version: 1.0.0
Summary: remodels
Home-page: https://github.com/zakrzewow/remodels
License: MIT
Author: Grzegorz Zakrzewski
Author-email: zakrzew12@gmail.com
Requires-Python: >=3.8,<4.0
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: click (>=8.0.1)
Requires-Dist: matplotlib (>=3.7.0,<3.8.0)
Requires-Dist: pandas (<=1.5.3)
Requires-Dist: scikit-learn (>=1.3.1,<2.0.0)
Requires-Dist: tqdm (>=4.66.1,<5.0.0)
Project-URL: Changelog, https://github.com/zakrzewow/remodels/releases
Project-URL: Documentation, https://remodels.readthedocs.io
Project-URL: Repository, https://github.com/zakrzewow/remodels
Description-Content-Type: text/markdown

# remodels

[![PyPI](https://img.shields.io/pypi/v/remodels.svg)][pypi_]
[![Status](https://img.shields.io/pypi/status/remodels.svg)][status]
[![Python Version](https://img.shields.io/pypi/pyversions/remodels)][python version]
[![License](https://img.shields.io/pypi/l/remodels)][license]

[![Documentation Status](https://readthedocs.org/projects/remodels/badge/?version=latest)][read the docs]
[![Tests](https://github.com/zakrzewow/remodels/workflows/Tests/badge.svg)][tests]
[![Codecov](https://codecov.io/gh/zakrzewow/remodels/branch/main/graph/badge.svg)][codecov]

[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)][pre-commit]
[![Black](https://img.shields.io/badge/code%20style-black-000000.svg)][black]

[pypi_]: https://pypi.org/project/remodels/
[status]: https://pypi.org/project/remodels/
[python version]: https://pypi.org/project/remodels
[read the docs]: https://remodels.readthedocs.io/en/latest/
[tests]: https://github.com/zakrzewow/remodels/actions?workflow=Tests
[codecov]: https://app.codecov.io/gh/zakrzewow/remodels
[pre-commit]: https://github.com/pre-commit/pre-commit
[black]: https://github.com/psf/black

ReModels is a Python package for probabilistic energy price forecasting using eight Quantile Regression Averaging (QRA) methods.

### Features

- **Dataset Download**: access commonly used public datasets for transparent data acquisition.
- **Data Preprocessing**: apply variance stabilizing transformation for improved data quality.
- **Forecast Generation**: produce point and probabilistic forecasts with reference implementations of QRA variants.
- **Result Evaluation**: compare predictions using dedicated metrics for fair and consistent evaluation.

ReModels provides a robust framework for researchers to compare different QRA methods and other forecasting techniques. It supports the development of new forecasting methods, extending beyond energy price forecasting.

ReModels simplifies and enhances energy price forecasting research with comprehensive tools and transparent methodologies.

Implemented QRA variants:

- QRA
- QRM
- FQRA
- FQRM
- sFQRA
- sFQRM
- LQRA
- SQRA
- SQRM

## Installation

You can install _remodels_ via [pip] from [PyPI]:

```console
$ pip install remodels
```

Alternatively, you can install from source:

```console
$ git clone https://github.com/zakrzewow/remodels.git
$ cd remodels
$ pip install .
```

## Usage

Please see the [Usage] or the [Reference] for details.

## License

Distributed under the terms of the [MIT license][license],
_remodels_ is free and open source software.

## Credits

This project was generated from [@cjolowicz]'s [Hypermodern Python Cookiecutter] template.

[@cjolowicz]: https://github.com/cjolowicz
[pypi]: https://pypi.org/project/remodels/
[hypermodern python cookiecutter]: https://github.com/cjolowicz/cookiecutter-hypermodern-python
[pip]: https://pip.pypa.io/

<!-- github-only -->

[license]: https://github.com/zakrzewow/remodels/blob/main/LICENSE
[usage]: https://remodels.readthedocs.io/en/latest/usage.html
[reference]: https://remodels.readthedocs.io/en/latest/reference.html

