def test_zero_known_item_scores():
train = get_random_coo_matrix().tocsr()
predictions = np.random.random_sample(train.shape)
r = BaseRecommender()
safe = r._zero_known_item_scores(predictions, train)
num_users, num_items = predictions.shape
for u in xrange(num_users):
for i in xrange(num_items):
if i in train[u].indices:
assert_less_equal(safe[u, i], 0)
else:
assert_equal(safe[u, i], predictions[u, i])
def test_zero_known_item_scores():
train = get_random_coo_matrix().tocsr()
predictions = np.random.random_sample(train.shape)
r = BaseRecommender()
safe = r._zero_known_item_scores(predictions,train)
num_users,num_items = predictions.shape
for u in xrange(num_users):
for i in xrange(num_items):
if i in train[u].indices:
assert_less_equal(safe[u,i],0)
else:
assert_equal(safe[u,i],predictions[u,i])
