FP-Growth
A Python implementation of the Frequent Pattern Growth algorithm.
Free software: ISC license
Documentation: https://fp-growth.readthedocs.org.
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.
1 maintainer
Release files for pyfpgrowth 1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyfpgrowth-1.0.tar.gz | 1.6 MB | Details |
Release files / pyfpgrowth-1.0.tar.gz
| Download URL | pyfpgrowth-1.0.tar.gz |
|---|---|
| Size | 1.6 MB |
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|
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