class ScenarioTest(unittest.TestCase):
def setUp(self):
self.scenario = Scenario(cheat=False, verbose=False)
def test_read_data(self):
train_x, train_y = self.scenario.read_data('data/train.csv')
test_x, test_y = self.scenario.read_data('data/test.csv')
self.assertEqual(train_x.shape, (120, 4))
self.assertEqual(train_y.shape, (120, 1))
self.assertEqual(test_x.shape, (30, 4))
self.assertEqual(test_y.shape, (30, 1))
def test_evaluate(self):
test_y = np.array([0, 1, 1, 2])
pred_y = np.array([0, 0, 1, 2])
self.assertEqual(0.75, self.scenario.evaluate(test_y, pred_y))
class ScenarioTest(unittest.TestCase):
def setUp(self):
self.scenario = Scenario(cheat=False, verbose=False)
def test_read_data(self):
train_data = self.scenario.read_data('data/train.csv')
test_data = self.scenario.read_data('data/test.csv')
self.assertEqual((10, 2), train_data.shape)
self.assertEqual((5, 2), test_data.shape)
def test_evaluate(self):
test_y = np.array([1, 0, 0, 0])
pred_y = np.array([0, 1, 0, 0])
self.assertEqual(0.5, self.scenario.evaluate(test_y, pred_y))
def test_baseline(self):
train_data = np.array([[0, 0], [10, 1]])
predict = self.scenario.baseline(train_data)
self.assertEqual(0, predict(3))
self.assertEqual(1, predict(7))
class ScenarioTest(unittest.TestCase):
def setUp(self):
self.scenario = Scenario(cheat=False, verbose=False)
self.scenario.n_user = 2
self.scenario.n_item = 2
def test_read_data(self):
train_data = self.scenario.read_data('data/train.csv')
test_data = self.scenario.read_data('data/test.csv')
self.assertEqual((75000, 3), train_data.shape)
self.assertEqual((25000, 3), test_data.shape)
def test_data2matrix(self):
data = [(1, 1, 1), (1, 2, 1), (2, 1, 1)]
matrix = self.scenario.data2matrix(data)
self.assertEqual(0, (matrix - np.array([[1, 1], [1, 0]])).sum())
def test_evaluate(self):
test_matrix = np.array([[1, 1], [1, 0]])
pred_matrix = np.array([[0, 0], [0, 1]])
self.assertEqual(1, self.scenario.evaluate(test_matrix, pred_matrix))
