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Function START_SECTION

src/tests/class_tests/openms/source/SimpleSVM_test.cpp:280–346  ·  view source on GitHub ↗

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278
279}
280END_SECTION
281
282START_SECTION(regression_train_and_predict_on_separate)
283{
284 // Same data as above but with split out test data (inlier + outlier)
285
286 SimpleSVM::PredictorMap x{ {"x", {
287 0.0827345, 0.0860808, 0.1587253,
288 0.2340380, 0.2376890, 0.2420991, 0.3825909,
289 0.4185480, 0.4909027, 0.9507514,
290 0.9566240, 1.0680931, 1.1448901,
291 1.3127954, 1.6548730, 1.8522109, 1.9021369,
292 2.0112177, 2.2142165, 2.2331448,
293 2.7221007, 2.8684072, 2.9972565, 3.0146882,
294 3.0934168, 3.2048384, 3.2171502, 3.2959385,
295 3.6047516, 4.0592506, 4.0725104,
296 4.7699635, 4.8069954, 4.8126888 }}};
297
298 map<Size, double> y{ {
299 {0, 0.0826401}, {1, 0.0859745}, {2, 0.1580597}, {3, 0.2319073}, {4, 1.1990320},
300 {5, 0.2397410}, {6, 0.3733253}, {7, 0.4064343}, {8, 0.4714222}, {9, 0.8138523},
301 {10, 0.8172507}, {11, 0.8762834}, {12, 0.9106647}, {13, 0.9669019}, {14, 0.9964676},
302 {15, 0.9606635}, {16, 0.9456070}, {17, 1.3416947}, {18, 0.8000485}, {19, 0.7885501},
303 {20, 0.4072964}, {21, -0.1396564}, {22, 0.1438354}, {23, 0.1265640}, {24, 0.0481571}, {25, -0.0632036},
304 {26, -0.2082548}, {27, -0.1537337}, {28, -0.4467765}, {29, -0.7941806}, {30, -0.8021682},
305 {31, -0.9983430}, {32, -0.9955281}, {33, -0.9949741 } } };
306
307 SimpleSVM::PredictorMap x_test{ {"x", {
308 0.0604460,
309 0.7375445,
310 1.2531016,
311 2.3437173,
312 4.1267237,
313 4.7097008 }}};
314
315 map<Size, double> y_test{ {
316 {0, -0.0604637},
317 {1, 2.1056848},
318 {2, 1.4817945},
319 {3, 0.7158742},
320 {4, -1.9997169},
321 {5, -0.9999963} } };
322
323 auto param = svm.getParameters();
324 param.setValue("kernel", "RBF");
325 param.setValue("log2_C", ListUtils::create<double>("1,5"));
326 param.setValue("log2_gamma", ListUtils::create<double>("-5,5"));
327 param.setValue("log2_p", ListUtils::create<double>("-15,-3.32192809489"));
328 svm.setParameters(param);
329
330 svm.setParameters(param);
331
332 svm.setup(x, y, false); // set up regression
333
334 vector<SimpleSVM::Prediction> predictions;
335 svm.predict(x_test, predictions);
336
337 // test a few inlier

Callers

nothing calls this directly

Calls 6

TEST_EQUALFunction · 0.85
setParametersMethod · 0.80
setupMethod · 0.80
getParametersMethod · 0.45
setValueMethod · 0.45
predictMethod · 0.45

Tested by

no test coverage detected