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A Python implementation of the Frequent Pattern Growth algorithm.

Project description

FP-Growth

Documentation Status

A Python implementation of the Frequent Pattern Growth algorithm.

Getting Started

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)

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

1.0 (2016-04-25)

  • First release on PyPI.

Project details


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This version
History Node

1.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
pyfpgrowth-1.0.tar.gz (1.6 MB) Copy SHA256 hash SHA256 Source None Apr 27, 2016

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