The algorithm is devloped for python 3.

Before using apriori algorithme, you have to clone the repository for instance you can use git clone https://github.com/GuillaumeLe/mba-apriori-python.git or you can download the .zip file and extract them in your project.

Next you have to include apriori in your python project : import apriori.

The apriori function use a liste of transactions, where each transaction is a list of item.

transactions = [
    ['A','B','D','E'],
    ['C','A','D','B','F'],
    ['D','A','H','B','C'],
    ['E','F','B','C']
]

Apriori function use three arguments apriori(transactions):

• the transactions transactions.
• the minimum support min_supp which is the minimum number of occurence to considere a case, by default min_supp = 3.
• the confidence confidence, by default confidence = 0.75

The librairy is develped with TDD method. To run test use python3 test.py.