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Base classes for creating scikit-learn-like parametric objects, and tools for working with them.

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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.

🚀 Version 0.8.2 is now available. Check out our release notes.

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Documentation and Tutorials

To learn more about the package check out:

⏳ 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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Base classes for creating scikit-learn-like parametric objects, and tools for working with them.

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