Metadata-Version: 2.4
Name: scikit-base
Version: 0.13.0
Summary: Base classes for sklearn-like parametric objects
Author-email: sktime developers <sktime.toolbox@gmail.com>
Maintainer: Franz Király
Maintainer-email: sktime developers <sktime.toolbox@gmail.com>
License: BSD 3-Clause License
        
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Project-URL: homepage, https://github.com/sktime/skbase
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Keywords: data-science,machine-learning,scikit-learn
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<a href="https://skbase.readthedocs.io/en/latest/"><img src="https://github.com/sktime/skbase/blob/main/docs/source/images/skbase-logo-with-name.png" width="175" align="right" /></a>

# Welcome to skbase

> A framework factory for scikit-learn-like and sktime-like parametric objects

`skbase` provides base classes for creating scikit-learn-like parametric objects,
along with tools to make it easier to build your own packages that follow these design patterns.

:rocket: Version 0.13.0 is now available. Check out our
[release notes](https://skbase.readthedocs.io/en/latest/changelog.html).

| Overview | |
|---|---|
| **CI/CD** | [![Tests](https://github.com/sktime/skbase/actions/workflows/test.yml/badge.svg?branch=main)](https://github.com/sktime/skbase/actions/workflows/test.yml) [![codecov](https://codecov.io/gh/sktime/skbase/branch/main/graph/badge.svg?token=2J424NLO82)](https://codecov.io/gh/sktime/skbase) [![Documentation Status](https://readthedocs.org/projects/skbase/badge/?version=latest)](https://skbase.readthedocs.io/en/latest/?badge=latest) [![pre-commit.ci status](https://results.pre-commit.ci/badge/github/sktime/skbase/main.svg)](https://results.pre-commit.ci/latest/github/sktime/skbase/main) |
| **Code** |  [![!pypi](https://img.shields.io/pypi/v/scikit-base?color=orange)](https://pypi.org/project/scikit-base/)  [![!python-versions](https://img.shields.io/pypi/pyversions/scikit-base)](https://www.python.org/) [![!black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![security: bandit](https://img.shields.io/badge/security-bandit-yellow.svg)](https://github.com/PyCQA/bandit) |
| **Downloads** | ![PyPI - Downloads](https://img.shields.io/pypi/dw/scikit-base) ![PyPI - Downloads](https://img.shields.io/pypi/dm/scikit-base) [![Downloads](https://static.pepy.tech/personalized-badge/scikit-base?period=total&units=international_system&left_color=grey&right_color=blue&left_text=cumulative%20(pypi))](https://pepy.tech/project/scikit-base) |
| **Citation** | [![DOI](https://zenodo.org/badge/494649836.svg)](https://zenodo.org/doi/10.5281/zenodo.10980557) |

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## Documentation and Tutorials

To learn more about the package check out:

* our [documentation](https://skbase.readthedocs.io/en/latest/)
* our [introductory tutorial](https://github.com/sktime/sktime-tutorial-pydata-seattle-2023) (jupyter notebooks and video presentation)

## :hourglass_flowing_sand: Install skbase
For trouble shooting or more information, see our
[detailed installation instructions](https://skbase.readthedocs.io/en/latest/user_documentation/installation.html).

- **Operating system**: macOS · Linux · Windows 8.1 or higher
- **Python version**: Python 3.10, 3.11, 3.12, 3.13, and 3.14
- **Package managers**: [pip]

[pip]: https://pip.pypa.io/en/stable/

### pip
skbase releases are available as source packages and binary wheels via PyPI
and can be installed using pip. Checkout the full list of pre-compiled [wheels on PyPi](https://pypi.org/simple/skbase/).

To install the core package use:

```bash
pip install scikit-base
```

or, if you want to install with the maximum set of dependencies, use:

```bash
pip install scikit-base[all_extras]
```

## Contributors ✨

This project follows the
[all-contributors](https://github.com/all-contributors/all-contributors) specification.
Contributions of any kind welcome!

Thanks go to these wonderful people:

[skbase contributors](https://github.com/sktime/skbase/graphs/contributors)
