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3672 Change AUC error to warning #3675

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Merged
wyli merged 6 commits into from
Jan 18, 2022
Merged

3672 Change AUC error to warning #3675

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42a45e0
Merge pull request #19 from Project-MONAI/master
Nic-Ma Feb 1, 2021
cd16a13
Merge pull request #32 from Project-MONAI/master
Nic-Ma Feb 24, 2021
6f87afd
Merge pull request #180 from Project-MONAI/dev
Nic-Ma Jul 22, 2021
f398298
Merge pull request #214 from Project-MONAI/dev
Nic-Ma Sep 8, 2021
a0fc4da
Merge pull request #353 from Project-MONAI/dev
Nic-Ma Jan 18, 2022
4896db3
[DLMED] change to warning
Nic-Ma Jan 18, 2022
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4 changes: 3 additions & 1 deletion monai/metrics/rocauc.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.

import warnings
from typing import Union, cast

import numpy as np
Expand Down Expand Up @@ -66,7 +67,8 @@ def _calculate(y_pred: torch.Tensor, y: torch.Tensor) -> float:
if not (y.ndimension() == y_pred.ndimension() == 1 and len(y) == len(y_pred)):
raise AssertionError("y and y_pred must be 1 dimension data with same length.")
if not y.unique().equal(torch.tensor([0, 1], dtype=y.dtype, device=y.device)):
raise AssertionError("y values must be 0 or 1, can not be all 0 or all 1.")
warnings.warn("y values must be 0 or 1, can not be all 0 or all 1, skip AUC computation and return `Nan`.")
return float("nan")
n = len(y)
indices = y_pred.argsort()
y = y[indices].cpu().numpy()
Expand Down
17 changes: 15 additions & 2 deletions tests/test_compute_roc_auc.py
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Original file line number Diff line number Diff line change
Expand Up @@ -68,9 +68,20 @@
0.62,
]

TEST_CASE_8 = [
torch.tensor([[0.1, 0.9], [0.3, 1.4], [0.2, 0.1], [0.1, 0.5]]),
torch.tensor([[0], [0], [0], [0]]),
True,
2,
"macro",
float("nan"),
]


class TestComputeROCAUC(unittest.TestCase):
@parameterized.expand([TEST_CASE_1, TEST_CASE_2, TEST_CASE_3, TEST_CASE_4, TEST_CASE_5, TEST_CASE_6, TEST_CASE_7])
@parameterized.expand(
[TEST_CASE_1, TEST_CASE_2, TEST_CASE_3, TEST_CASE_4, TEST_CASE_5, TEST_CASE_6, TEST_CASE_7, TEST_CASE_8]
)
def test_value(self, y_pred, y, softmax, to_onehot, average, expected_value):
y_pred_trans = Compose([ToTensor(), Activations(softmax=softmax)])
y_trans = Compose([ToTensor(), AsDiscrete(to_onehot=to_onehot)])
Expand All @@ -79,7 +90,9 @@ def test_value(self, y_pred, y, softmax, to_onehot, average, expected_value):
result = compute_roc_auc(y_pred=y_pred, y=y, average=average)
np.testing.assert_allclose(expected_value, result, rtol=1e-5)

@parameterized.expand([TEST_CASE_1, TEST_CASE_2, TEST_CASE_3, TEST_CASE_4, TEST_CASE_5, TEST_CASE_6, TEST_CASE_7])
@parameterized.expand(
[TEST_CASE_1, TEST_CASE_2, TEST_CASE_3, TEST_CASE_4, TEST_CASE_5, TEST_CASE_6, TEST_CASE_7, TEST_CASE_8]
)
def test_class_value(self, y_pred, y, softmax, to_onehot, average, expected_value):
y_pred_trans = Compose([ToTensor(), Activations(softmax=softmax)])
y_trans = Compose([ToTensor(), AsDiscrete(to_onehot=to_onehot)])
Expand Down