from apriori import Apriori
if __name__ == '__main__':
while 1:
filePath = input("Please input the file name:")
minSupp = float(input("Please input minimum support:"))
minConf = float(input("Please input minimum confidence:"))
print("filePath:", filePath, "\n"
"mininum support:", minSupp, "\n"
"mininum confidence:", minConf, "\n")
# Run and print
Apriori_gen = Apriori(minSupp, minConf)
freqSet = Apriori_gen.frequentCount(filePath)
for key, value in freqSet.items():
print('frequent {}-term set:'.format(key))
print('-' * 20)
for itemset in value:
print(list(itemset))
print()
# Return rules with regard of `rhs`
for key, value in freqSet.items():
for item in value:
rhs = item
association_rules = Apriori_gen.find_Association_Rules(rhs)
print('-' * 20)
print('association_rules refer to {}'.format(list(rhs)))
for key, value in association_rules.items():
