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Machine learning for a FOSSology server: rigel is for mining of data from conclusions, clearing expert corrections and bulk scans, create a model, use this model for providing a new classifier for licenses.

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FOSSologyML

Open Source License Classifier, driven by Machine Learning. FOSSologyML is a toolkit which introduces a new scan tool for FOSSology: rigel.

This new tool can be used as a standalone rigel-cli or started as a simple server with rigel-server. A FOSSology wrapper agent communicates then with the rigel-server. Opposed to nomos, which can be started at every scan, it is better to have rigel running, because of the longer initialisation times for the classifier.

Installation

pip install git+https://github.com/fossology/FOSSologyML.git

Or in a develop mode after downloading a zip or cloning the git repository

git clone https://github.com/fossology/FOSSologyML.git
cd
pip install -e .

Once installed you need to download default model and language preprocessing data for english by running

rigel-download-data

Then you can run

rigel-cli --help

or

rigel-server --help

Development

To start all tests run

python setup.py test

To generate documentation with Sphinx run

cd docs
sphinx-apidoc ../FOSSologyML/ -f -o .
make html

To package make sure you have the following installed

pip install --user --upgrade setuptools wheel

and run

python setup.py sdist bdist_wheel

How to build the model

See Documentation <https://>_ for info on how to build your own model and more.

License

SPDX-License-Identifier: GPL-2.0-only

See the file LICENSE.rst

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Machine learning for a FOSSology server: rigel is for mining of data from conclusions, clearing expert corrections and bulk scans, create a model, use this model for providing a new classifier for licenses.

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