def test_process(self):
mushroom_file = open("sample_data/mushroom/mushroom.tsv")
data = map(lambda x: x.strip().split(),
mushroom_file.read().split("\n"))[:-1]
ap = Apriori(data)
ap.fit(min_support=0.9, min_confidence=0.8)
itemsets_list = ap.get_itemsets()
support_data = ap.get_support_data()
rules = ap.get_rules()
self.tlog("itemsets list : " + str(itemsets_list))
self.tlog("support_data : " + str(support_data))
self.tlog("rules : " + str(rules))
def test_process(self):
data = [[1, 3, 4], [2, 3, 5], [1, 2, 3, 5], [2, 5]]
ap = Apriori(data)
ap.fit(min_support=0.5, min_confidence=0.7)
itemsets_list = ap.get_itemsets()
support_data = ap.get_support_data()
rules = ap.get_rules()
self.tlog("itemsets list : " + str(itemsets_list))
self.tlog("support_data : " + str(support_data))
self.tlog("rules : " + str(rules))
rec = ap.recommend([2])
self.tlog("recommend with 2 : " + str(rec))
assert rec == frozenset([3, 5])
def test_process(self):
mushroom_file = open("sample_data/mushroom/mushroom.tsv")
data = map(lambda x : x.strip().split(), mushroom_file.read().split("\n"))[:-1]
ap = Apriori(data)
ap.fit(min_support = 0.9, min_confidence = 0.8)
itemsets_list = ap.get_itemsets()
support_data = ap.get_support_data()
rules = ap.get_rules()
self.tlog("itemsets list : " + str(itemsets_list))
self.tlog("support_data : " + str(support_data))
self.tlog("rules : " + str(rules))
def test_process(self):
data = [[1,3,4], [2,3,5],[1,2,3,5], [2,5]]
ap = Apriori(data)
ap.fit(min_support = 0.5 , min_confidence = 0.7)
itemsets_list = ap.get_itemsets()
support_data = ap.get_support_data()
rules = ap.get_rules()
self.tlog("itemsets list : " + str(itemsets_list))
self.tlog("support_data : " + str(support_data))
self.tlog("rules : " + str(rules))
rec = ap.recommend([2])
self.tlog("recommend with 2 : " + str(rec))
assert rec == frozenset([3,5])