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- # Copyright 2021 Huawei Technologies Co., Ltd
- #
- # Licensed under the Apache License, Version 2.0 (the "License");
- # you may not use this file except in compliance with the License.
- # You may obtain a copy of the License at
- #
- # http://www.apache.org/licenses/LICENSE-2.0
- #
- # Unless required by applicable law or agreed to in writing, software
- # distributed under the License is distributed on an "AS IS" BASIS,
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- # See the License for the specific language governing permissions and
- # limitations under the License.
- # ============================================================================
- # """test_auc"""
-
- import math
- import numpy as np
- from mindspore import Tensor
- from mindspore.nn.metrics import ROC, auc
-
-
- def test_auc():
- """test_auc"""
- x = Tensor(np.array([[3, 0, 1], [1, 3, 0], [1, 0, 2]]))
- y = Tensor(np.array([[0, 2, 1], [1, 2, 1], [0, 0, 1]]))
- metric = ROC(pos_label=1)
- metric.clear()
- metric.update(x, y)
- fpr, tpr, thre = metric.eval()
- output = auc(fpr, tpr)
-
- assert math.isclose(output, 0.45, abs_tol=0.001)
- assert np.equal(thre, np.array([4, 3, 2, 1, 0])).all()
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