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hub / github.com/Xtra-Computing/thundersvm / NuSVCTest

Class NuSVCTest

src/test/test_nusvc.cpp:11–38  ·  view source on GitHub ↗

Created by jiashuai on 17-10-30.

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9// Created by jiashuai on 17-10-30.
10//
11class NuSVCTest : public ::testing::Test {
12protected:
13 NuSVCTest() : test_dataset() {}
14
15 DataSet train_dataset;
16 DataSet test_dataset;
17 SvmParam param;
18 vector<float_type> predict_y;
19
20 float
21 load_dataset_and_train(string train_filename, string test_filename, float_type C, float_type gamma, float_type nu) {
22 train_dataset.load_from_file(train_filename);
23 test_dataset.load_from_file(test_filename);
24 param.gamma = gamma;
25 param.C = C;
26 param.nu = nu;
27 param.kernel_type = SvmParam::RBF;
28 param.svm_type = SvmParam::NU_SVC;
29// param.probability = 1;
30 std::shared_ptr<SvmModel> model;
31 model.reset(new NuSVC());
32 model->train(train_dataset, param);
33 predict_y = model->predict(test_dataset.instances(), 10000);
34 std::shared_ptr<Metric> metric;
35 metric.reset(new Accuracy());
36 return metric->score(predict_y, test_dataset.y());
37 }
38};
39
40TEST_F(NuSVCTest, test_set) {
41 EXPECT_NEAR(load_dataset_and_train(DATASET_DIR

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