A Python implementation of the Apriori algorithm — a data mining algorithm used to identify patterns in datasets.
Your dataset can be provided via a text file. Items should be seperated by a semicolon. See categories.txt for an example.
apriori = Apriori(min_support=771, input_filename='categories.txt')
apriori.run()
apriori.write_itemsets_to_file('patterns.txt')
# See frequent itemsets. For each k, keys are patterns and values are absolute support:
print(apriori.frequent_itemset)
# {
# 1 => { 'Pattern 1' => 243, ... },
# k => { 'Pattern 1;Pattern 2' => 132, ... },
# ...
# }