def mean_absolute_error(train_values, predicted_values):
if len(train_values) != len(predicted_values):
sys.stderr.write("mean_absolute_error: Invalid list lengths")
exit(1)
mae = MAE()
mae.load_ground_truth(train_values)
mae.load_test(predicted_values)
return mae.compute()
def test_PRED_MAE_load_test_and_ground_truth(self):
mae = MAE()
mae.load_test(self.TEST_DATA)
mae.load_ground_truth(self.GT_DATA)
assert_equal(mae.compute(), 0.7)
def test_PRED_MAE_load_test(self):
mae = MAE()
mae.load_test(self.TEST_DATA)
assert_equal(len(mae.get_test()), len(self.TEST_DATA))
assert_equal(len(mae.get_ground_truth()), 0)
assert_raises(ValueError, mae.compute) #Raise: GT is empty!
def test_PRED_MAE_load_test_and_ground_truth(self):
mae = MAE()
mae.load_test(self.TEST_DATA)
mae.load_ground_truth(self.GT_DATA)
assert_equal(mae.compute(), 0.7)
def test_PRED_MAE_load_test(self):
mae = MAE()
mae.load_test(self.TEST_DATA)
assert_equal(len(mae.get_test()), len(self.TEST_DATA))
assert_equal(len(mae.get_ground_truth()), 0)
assert_raises(ValueError, mae.compute) #Raise: GT is empty!
