cross validation classification meta example (#4151)

shogun-toolbox · Feb 6, 2018 · 6e6cf75 · 6e6cf75
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diff --git a/examples/meta/src/evaluation/cross_validation_support_vector_machine.sg b/examples/meta/src/evaluation/cross_validation_support_vector_machine.sg
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+CSVFile f_feats("../../data/fm_train_real.dat")
+CSVFile f_labels("../../data/label_train_twoclass.dat")
+
+RealFeatures features(f_feats)
+BinaryLabels labels(f_labels)
+
+LibLinear svm()
+svm.set_liblinear_solver_type(enum LIBLINEAR_SOLVER_TYPE.L2R_L2LOSS_SVC)
+
+StratifiedCrossValidationSplitting splitting_strategy(labels, 5)
+AccuracyMeasure evaluation_criterion()
+CrossValidation cross(svm, features, labels, splitting_strategy, evaluation_criterion)
+cross.set_num_runs(2)
+
+CrossValidationResult result = CrossValidationResult:obtain_from_generic(cross.evaluate())
+
+real mean = result.get_mean()
+real stddev = result.get_std_dev()
diff --git a/examples/undocumented/python/evaluation_cross_validation_classification.py b/examples/undocumented/python/evaluation_cross_validation_classification.py