giotto-learn 0.1.3.post1

Toolbox for Machine Learning using Topological Data Analysis.

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

• HTML documentation (stable release): https://docs.giotto.ai

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

• Official source code repo: https://github.com/giotto-ai/giotto-learn

• Download releases: https://pypi.org/project/giotto-learn/

• Issue tracker: https://github.com/giotto-ai/giotto-learn/issues

Contacts:

[e-mail]