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Skeletons for parameterized models.

Project description


Backbones for parameterized models.

PyPI Version Documentation Status

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Spines was built to provide a skeleton for Model classes: a common interface for users to build models around (with some tools and utilities which take advantage of having the commonalities). It's similar, in structure, to some of scikit-learn's underlying Estimator classes - but with a unified set of functions for all models, namely:

  • Build
  • Fit
  • Transform

The transform method is the only one that's required, though the other two are likely useful most of the time. Spines is absolutely not a replacement for scikit-learn (or any other data/machine-learning library) it's simply a useful framework for building your own models (leveraging any library) in a standardized and convenient way.


The latest documentation is hosted at


To install spines use your package manager of choice, an example using pipenv would be:

$ pipenv install spines


This project is licensed under the MIT License, for more information see the LICENSE file.

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