pip install fpgrowth_py
Then use it like
from fpgrowth_py import fpgrowth
itemSetList = [['eggs', 'bacon', 'soup'],
['eggs', 'bacon', 'apple'],
['soup', 'bacon', 'banana']]
freqItemSet, rules = fpgrowth(itemSetList, minSupRatio=0.5, minConf=0.5)
print(freqItemSet)
print(rules)
# [[{'beer'}, {'rice'}, 0.6666666666666666], [{'rice'}, {'beer'}, 1.0]]
# rules[0] --> rules[1], confidence = rules[2]Get a copy of this repo using git clone
git clone https://github.com/chonyy/fpgrowth_py.git
Run the program with dataset provided and default values for minSupport = 0.5 and minConfidence = 0.5
python fpgrowth.py -f dataset.csv
Run program with dataset and min support and min confidence
python fpgrowth.py -f tesco2.csv -s 0.5 -c 0.5