def test_popularity(self):
"""
Test the popularity okapi algorithm
"""
splitter = RandomSplitter()
training, testing = splitter.split(self.df, 0.20)
pop = Popularity(normalize=False)
pop.fit(training)
self.popularity.fit(training)
for _, row in testing.iterrows():
assert row["user"] in training["user"]
python_score = pop.getScore(row["user"], row["item"])
okapi_score = self.popularity.getScore(row["user"], row["item"])
assert okapi_score == python_score, \
"Okapi popularity(%f) don't give the same score as his python implementation(%f)" % (okapi_score,
python_score)
class split(object):
holdout = HoldoutSplitter()
holdoutByRandomSlow = RandomHoldoutSplitter()
holdoutByUser = HoldoutSplitterByUser()
holdoutByRandom = RandomSplitter()
