scikit-base 1.0.2

Base classes for sklearn-like parametric objects

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 1.0.2 is now available. Check out our release notes.

Overview
CI/CD
Code
Downloads
Citation

Documentation and Tutorials

To learn more about the package check out:

• our documentation
• our introductory tutorial (jupyter notebooks and video presentation)

:hourglass_flowing_sand: Install skbase

For trouble shooting or more information, see our detailed installation instructions.

• 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

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.

To install the core package use:

pip install scikit-base

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

pip install scikit-base[all_extras]

Contributors ✨

This project follows the all-contributors specification. Contributions of any kind welcome!

Thanks go to these wonderful people:

skbase contributors