def test_integration_roc_curve_with_activated_output_transform():
np.random.seed(1)
size = 100
np_y_pred = np.random.rand(size, 1)
np_y_pred_sigmoid = torch.sigmoid(torch.from_numpy(np_y_pred)).numpy()
np_y = np.zeros((size,), dtype=np.long)
np_y[size // 2:] = 1
np.random.shuffle(np_y)
sk_fpr, sk_tpr, sk_thresholds = roc_curve(np_y, np_y_pred_sigmoid)
batch_size = 10
def update_fn(engine, batch):
idx = (engine.state.iteration - 1) * batch_size
y_true_batch = np_y[idx: idx + batch_size]
y_pred_batch = np_y_pred[idx: idx + batch_size]
return idx, torch.from_numpy(y_pred_batch), torch.from_numpy(y_true_batch)
engine = Engine(update_fn)
roc_curve_metric = RocCurve(output_transform=lambda x: (torch.sigmoid(x[1]), x[2]))
roc_curve_metric.attach(engine, "roc_curve")
data = list(range(size // batch_size))
fpr, tpr, thresholds = engine.run(data, max_epochs=1).metrics["roc_curve"]
assert np.array_equal(fpr, sk_fpr)
assert np.array_equal(tpr, sk_tpr)
# assert thresholds almost equal, due to numpy->torch->numpy conversion
np.testing.assert_array_almost_equal(thresholds, sk_thresholds)
def test_check_compute_fn():
y_pred = torch.zeros((8, 13))
y_pred[:, 1] = 1
y_true = torch.zeros_like(y_pred)
output = (y_pred, y_true)
em = RocCurve(check_compute_fn=True)
em.reset()
with pytest.warns(EpochMetricWarning, match=r"Probably, there can be a problem with `compute_fn`"):
em.update(output)
em = RocCurve(check_compute_fn=False)
em.update(output)
def test_roc_curve():
size = 100
np_y_pred = np.random.rand(size, 1)
np_y = np.zeros((size,), dtype=np.long)
np_y[size // 2:] = 1
sk_fpr, sk_tpr, sk_thresholds = roc_curve(np_y, np_y_pred)
roc_curve_metric = RocCurve()
y_pred = torch.from_numpy(np_y_pred)
y = torch.from_numpy(np_y)
roc_curve_metric.update((y_pred, y))
fpr, tpr, thresholds = roc_curve_metric.compute()
assert np.array_equal(fpr, sk_fpr)
assert np.array_equal(tpr, sk_tpr)
# assert thresholds almost equal, due to numpy->torch->numpy conversion
np.testing.assert_array_almost_equal(thresholds, sk_thresholds)
def test_no_sklearn(mock_no_sklearn):
with pytest.raises(RuntimeError, match=r"This contrib module requires sklearn to be installed"):
RocCurve()