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.. image:: https://img.shields.io/pypi/v/pyfpgrowth.svg :target: https://pypi.python.org/pypi/pyfpgrowth
.. image:: https://img.shields.io/travis/evandempsey/fp-growth.svg :target: https://travis-ci.org/evandempsey/fp-growth
.. image:: https://readthedocs.org/projects/fp-growth/badge/?version=latest :target: https://readthedocs.org/projects/fp-growth/?badge=latest :alt: Documentation Status
A Python implementation of the Frequent Pattern Growth algorithm.
You can install the package with pip::
pip install pyfpgrowth
Then, to use it in a project, inport it and use the find_frequent_patterns and generate_association_rules functions::
import pyfpgrowth
It is assumed that your transactions are a sequence of sequences representing items in baskets. The item IDs are integers::
transactions = [[1, 2, 5],
[2, 4],
[2, 3],
[1, 2, 4],
[1, 3],
[2, 3],
[1, 3],
[1, 2, 3, 5],
[1, 2, 3]]
Use find_frequent_patterns to find patterns in baskets that occur over the support threshold::
patterns = pyfpgrowth.find_frequent_patterns(transactions, 2)
Use generate_association_rules to find patterns that are associated with another with a certain minimum probability::
rules = pyfpgrowth.generate_association_rules(patterns, 0.7)
This package was created with Cookiecutter_ and the audreyr/cookiecutter-pypackage
_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _audreyr/cookiecutter-pypackage
: https://github.com/audreyr/cookiecutter-pypackage
FAQs
A Python implementation of the Frequent Pattern Growth algorithm.
We found that pyfpgrowth demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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