Base classes for sklearn-like parametric objects
Project description
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 0.7.4 is now available. Check out our release notes.
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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 X · Linux · Windows 8.1 or higher
- Python version: Python 3.8, 3.9, 3.10, 3.11 and 3.12
- 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]
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