def test_config(self):
normalizer = constant_op.constant([1, 3], dtype=dtypes.float32)
mre_obj = metrics.MeanRelativeError(normalizer=normalizer, name='mre')
self.assertEqual(mre_obj.name, 'mre')
self.assertArrayNear(self.evaluate(mre_obj.normalizer), [1, 3], 1e-1)
mre_obj2 = metrics.MeanRelativeError.from_config(mre_obj.get_config())
self.assertEqual(mre_obj2.name, 'mre')
self.assertArrayNear(self.evaluate(mre_obj2.normalizer), [1, 3], 1e-1)
def test_zero_normalizer(self):
y_pred = constant_op.constant([2, 4], dtype=dtypes.float32)
y_true = constant_op.constant([1, 3])
mre_obj = metrics.MeanRelativeError(normalizer=array_ops.zeros_like(y_true))
self.evaluate(variables.variables_initializer(mre_obj.variables))
result = mre_obj(y_true, y_pred)
self.assertEqual(self.evaluate(result), 0)
def test_unweighted(self):
np_y_pred = np.asarray([2, 4, 6, 8], dtype=np.float32)
np_y_true = np.asarray([1, 3, 2, 3], dtype=np.float32)
expected_error = np.mean(
np.divide(np.absolute(np_y_pred - np_y_true), np_y_true))
y_pred = constant_op.constant(np_y_pred, shape=(1, 4), dtype=dtypes.float32)
y_true = constant_op.constant(np_y_true, shape=(1, 4))
mre_obj = metrics.MeanRelativeError(normalizer=y_true)
self.evaluate(variables.variables_initializer(mre_obj.variables))
result = mre_obj(y_true, y_pred)
self.assertAllClose(self.evaluate(result), expected_error, atol=1e-3)
def test_weighted(self):
np_y_pred = np.asarray([2, 4, 6, 8], dtype=np.float32)
np_y_true = np.asarray([1, 3, 2, 3], dtype=np.float32)
sample_weight = np.asarray([0.2, 0.3, 0.5, 0], dtype=np.float32)
rel_errors = np.divide(np.absolute(np_y_pred - np_y_true), np_y_true)
expected_error = np.sum(rel_errors * sample_weight)
y_pred = constant_op.constant(np_y_pred, dtype=dtypes.float32)
y_true = constant_op.constant(np_y_true)
mre_obj = metrics.MeanRelativeError(normalizer=y_true)
self.evaluate(variables.variables_initializer(mre_obj.variables))
result = mre_obj(
y_true, y_pred, sample_weight=constant_op.constant(sample_weight))
self.assertAllClose(self.evaluate(result), expected_error, atol=1e-3)
