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Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
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sktime/skbase
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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.
🚀 Version 0.12.1 is now available. Check out ourrelease notes.
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To learn more about the package check out:
- ourdocumentation
- ourintroductory tutorial (jupyter notebooks and video presentation)
For trouble shooting or more information, see ourdetailed installation instructions.
- Operating system: macOS X · Linux · Windows 8.1 or higher
- Python version: Python 3.9, 3.10, 3.11, 3.12, and 3.13
- Package managers:pip
skbase releases are available as source packages and binary wheels via PyPIand can be installed using pip. Checkout the full list of pre-compiledwheels 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]
This project follows theall-contributors specification.Contributions of any kind welcome!
Thanks go to these wonderful people:
About
Base classes for creating scikit-learn-like parametric objects, and tools for working with them.