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Description:

giottolearn 0.1.3.post1

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:
maintainers@giotto.ai