def apriori():
transactions = np.array([[1, 2, 3, 4], [1, 2, 4], [1, 2], [2, 3, 4], [2, 3], [3, 4], [2, 4]])
print ("- Apriori -")
min_sup = 0.25
min_conf = 0.8
print ("Minimum Support: %.2f, Minimum Confidence: %s" % (min_sup, min_conf))
print ("Transactions:")
for transaction in transactions:
print ("\t%s" % transaction)
apriori = Apriori(min_support=min_sup, min_confidence=min_conf)
apriori.evaluate(transactions)
