def test_axis(self):
self.setup(axis=1)
cosine_obj = metrics.CosineProximity(axis=1)
self.evaluate(variables.variables_initializer(cosine_obj.variables))
loss = cosine_obj(self.y_true, self.y_pred)
expected_loss = np.mean(self.expected_loss)
self.assertAlmostEqual(self.evaluate(loss), expected_loss, 3)
def test_weighted(self):
cosine_obj = metrics.CosineProximity()
self.evaluate(variables.variables_initializer(cosine_obj.variables))
y_true = constant_op.constant(((0, 1, 0, 1, 0), (0, 0, 1, 1, 1),
(1, 1, 1, 1, 0), (0, 0, 0, 0, 1)))
y_pred = constant_op.constant(((0, 0, 1, 1, 0), (1, 1, 1, 1, 1),
(0, 1, 0, 1, 0), (1, 1, 1, 1, 1)))
sample_weight = constant_op.constant((1., 1.5, 2., 2.5))
result = cosine_obj(y_true, y_pred, sample_weight=sample_weight)
self.assertAllClose(-0.59916, self.evaluate(result), atol=1e-5)
def test_config(self):
cosine_obj = metrics.CosineProximity(
axis=2, name='my_cos', dtype=dtypes.int32)
self.assertEqual(cosine_obj.name, 'my_cos')
self.assertEqual(cosine_obj._dtype, dtypes.int32)
# Check save and restore config
cosine_obj2 = metrics.CosineProximity.from_config(cosine_obj.get_config())
self.assertEqual(cosine_obj2.name, 'my_cos')
self.assertEqual(cosine_obj2._dtype, dtypes.int32)
def test_weighted(self):
self.setup()
cosine_obj = metrics.CosineProximity()
self.evaluate(variables.variables_initializer(cosine_obj.variables))
sample_weight = np.asarray([1.2, 3.4])
loss = cosine_obj(self.y_true,
self.y_pred,
sample_weight=constant_op.constant(sample_weight))
expected_loss = np.sum(
self.expected_loss * sample_weight) / np.sum(sample_weight)
self.assertAlmostEqual(self.evaluate(loss), expected_loss, 3)
def test_unweighted(self):
cosine_obj = metrics.CosineProximity()
self.evaluate(variables.variables_initializer(cosine_obj.variables))
y_true = constant_op.constant(((0, 1, 0, 1, 0), (0, 0, 1, 1, 1),
(1, 1, 1, 1, 0), (0, 0, 0, 0, 1)))
y_pred = constant_op.constant(((0, 0, 1, 1, 0), (1, 1, 1, 1, 1),
(0, 1, 0, 1, 0), (1, 1, 1, 1, 1)))
update_op = cosine_obj.update_state(y_true, y_pred)
self.evaluate(update_op)
result = cosine_obj.result()
self.assertAllClose(-0.60723, result, atol=1e-5)
def test_config(self): cosine_obj = metrics.CosineProximity(name='my_cos', dtype=dtypes.int32) self.assertEqual(cosine_obj.name, 'my_cos') self.assertEqual(cosine_obj._dtype, dtypes.int32)
