1# Copyright 2021 Huawei Technologies Co., Ltd 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================ 15# """test_auc""" 16 17import math 18import numpy as np 19from mindspore import Tensor 20from mindspore.nn.metrics import ROC, auc 21 22 23def test_auc(): 24 """test_auc""" 25 x = Tensor(np.array([[3, 0, 1], [1, 3, 0], [1, 0, 2]])) 26 y = Tensor(np.array([[0, 2, 1], [1, 2, 1], [0, 0, 1]])) 27 metric = ROC(pos_label=1) 28 metric.clear() 29 metric.update(x, y) 30 fpr, tpr, thre = metric.eval() 31 output = auc(fpr, tpr) 32 33 assert math.isclose(output, 0.45, abs_tol=0.001) 34 assert np.equal(thre, np.array([4, 3, 2, 1, 0])).all() 35