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giotto-learn

giotto-learn is a high performance topological machine learning toolbox in Python built on top of scikit-learn and is distributed under the Apache 2.0 license. It is part of the Giotto open-source project.

Website: https://giotto.ai

Installation

Dependencies

giotto-learn requires:

  • Python (>= 3.5)

  • scikit-learn (>= 0.21.3)

  • NumPy (>= 1.11.0)

  • SciPy (>= 0.17.0)

  • joblib (>= 0.11)

For running the examples jupyter, matplotlib and plotly are required.

User installation

If you already have a working installation of numpy and scipy, the easiest way to install giotto-learn is using pip

pip install -U giotto-learn

Documentation

Contributing

We welcome new contributors of all experience levels. The Giotto community goals are to be helpful, welcoming, and effective. To learn more about making a contribution to giotto-learn, please see the CONTRIBUTING.rst file.

Developer installation

C++ dependencies:

  • C++14 compatible compiler

  • CMake >= 3.9

  • Boost >= 1.56

Source code

You can check the latest sources with the command:

git clone https://github.com/giotto-ai/giotto-learn.git
To install:
cd giotto-learn
pip install -e .

From there any change in the library files will be immediately available on your machine.

Testing

After installation, you can launch the test suite from outside the source directory:

pytest giotto

Changelog

See the RELEASE.rst file for a history of notable changes to giotto-learn.

Important links

Contacts:

maintainers@giotto.ai

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for giotto-learn from gravatar.com giotto-learn

Credits

Maintainer: Guillaume Tauzin

License

OSI Approved (Apache 2.0)

Tags

machine learning topological data analysis persistent homology persistence diagrams

Classifiers

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