| Name | scikit-base JSON |
| Version |
0.12.4
JSON |
| download |
| home_page | None |
| Summary | Base classes for sklearn-like parametric objects |
| upload_time | 2025-07-23 22:15:25 |
| maintainer | Franz Király |
| docs_url | None |
| author | None |
| requires_python | <3.14,>=3.9 |
| license | BSD 3-Clause License
Copyright (c) 2022, skbase Developers
All rights reserved.
Redistribution and use in source and binary forms, with or without
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3. Neither the name of the copyright holder nor the names of its
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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|
| keywords |
data-science
machine-learning
scikit-learn
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
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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 0.12.4 is now available. Check out our
[release notes](https://skbase.readthedocs.io/en/latest/changelog.html).
| Overview | |
|---|---|
| **CI/CD** | [](https://github.com/sktime/skbase/actions/workflows/test.yml) [](https://codecov.io/gh/sktime/skbase) [](https://skbase.readthedocs.io/en/latest/?badge=latest) [](https://results.pre-commit.ci/latest/github/sktime/skbase/main) |
| **Code** | [](https://pypi.org/project/scikit-base/) [](https://www.python.org/) [](https://github.com/psf/black) [](https://github.com/PyCQA/bandit) |
| **Downloads** |   [)](https://pepy.tech/project/scikit-base) |
| **Citation** | [](https://zenodo.org/doi/10.5281/zenodo.10980557) |
<!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
[](#contributors)
<!-- ALL-CONTRIBUTORS-BADGE:END -->
## 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 3.9, 3.10, 3.11, 3.12, and 3.13
- **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)
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