Hands-On Machine Learning with C++

With SVM

The following code sample shows how to use Dlib's SVM algorithm implementation for multi-class classification:

 void SVMClassification(const Samples& samples,                        const Labels& labels,                        const Samples& test_samples,                        const Labels& test_labels) {     using OVOtrainer = one_vs_one_trainer<any_trainer<SampleType>>;     using KernelType = radial_basis_kernel<SampleType>;      svm_nu_trainer<KernelType> svm_trainer;     svm_trainer.set_kernel(KernelType(0.1));      OVOtrainer trainer;     trainer.set_trainer(svm_trainer);      one_vs_one_decision_function<OVOtrainer> df = trainer.train(samples,                              labels);      // process results and estimate accuracy     DataType accuracy = 0;     for (size_t i = 0; i != test_samples.size(); i++) {         auto vec = test_samples[i]; auto class_idx = static_cast<size_t>(df(vec)); ...