add unittest for SVM Light

tests/unit/classifier/svm/SVMLight_unittest.cc

@@ -0,0 +1,71 @@
+/*
+ * Copyright (c) 2016, Shogun-Toolbox e.V. <shogun-team@shogun-toolbox.org>
+ * All rights reserved.
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ *
+ *  1. Redistributions of source code must retain the above copyright notice,
+ *     this list of conditions and the following disclaimer.
+ *
+ *  2. Redistributions in binary form must reproduce the above copyright
+ *     notice, this list of conditions and the following disclaimer in the
+ *     documentation and/or other materials provided with the distribution.
+ *
+ *  3. Neither the name of the copyright holder nor the names of its
+ *     contributors may be used to endorse or promote products derived from
+ *     this software without specific prior written permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ * ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
+ * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+ * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+ * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+ * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+ * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+ * POSSIBILITY OF SUCH DAMAGE.
+ *
+ * Authors: 2016 MikeLing, Viktor Gal, Sergey Lisitsyn, Heiko Strathmann
+ */
+
+#include <gtest/gtest.h>
+#include <shogun/classifier/svm/SVMLight.h>
+#include <shogun/evaluation/ContingencyTableEvaluation.h>
+#include <shogun/features/DenseFeatures.h>
+#include <shogun/kernel/GaussianKernel.h>
+
+#include "environments/LinearTestEnvironment.h"
+
+using namespace shogun;
+#ifdef USE_SVMLIGHT
+TEST(SVMLight, train)
+{
+	auto C = 1.0;
+	auto epsilon = 0.001;
+	std::shared_ptr<GaussianCheckerboard> mockData =
+	    LinearTestEnvironment::instance().getBinaryLabelData();
+
+	CDenseFeatures<float64_t>* train_feats = mockData->get_features_train();
+	CDenseFeatures<float64_t>* test_feats = mockData->get_features_test();
+
+	CBinaryLabels* ground_truth = (CBinaryLabels*)mockData->get_labels_train();
+
+	CGaussianKernel* gauss_kernel =
+	    new CGaussianKernel(train_feats, train_feats, 15);
+	CSVMLight* svml = new CSVMLight(C, gauss_kernel, ground_truth);
+
+	svml->set_epsilon(epsilon);
+	svml->train();
+
+	CLabels* pred = svml->apply(test_feats);
+
+	CAccuracyMeasure evaluate = CAccuracyMeasure();
+	evaluate.evaluate(pred, mockData->get_labels_test());
+	EXPECT_GT(evaluate.get_accuracy(), 0.99);
+
+	SG_UNREF(svml);
+	SG_UNREF(pred);
+}
+#endif // USE_SVMLIGHT

tests/unit/classifier/svm/SVMOcas_unittest.cc

@@ -20,7 +20,7 @@ TEST(SVMOcasTest,train)
 	CDenseFeatures<float64_t>* train_feats = mockData->get_features_train();
 	CDenseFeatures<float64_t>* test_feats = mockData->get_features_test();
 
-	CBinaryLabels* ground_truth = (CBinaryLabels*)mockData->get_labels_test();
+	CBinaryLabels* ground_truth = (CBinaryLabels*)mockData->get_labels_train();
 
 	CSVMOcas* ocas = new CSVMOcas(1.0, train_feats, ground_truth);
 	ocas->parallel->set_num_threads(1);