What is Linear Support Vector Machine in Shogun?

Recipe Objective

This recipe explains what is Linear Support Vector Machine, how to implement it using Shogun.
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Linear Support Vector Machine

Linear Support Vector Machine makes sure that the margins between the two classes are maximized by determining a hyper-plane. It is a binary classifier. We need to minimize the loss function.

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x_train = RealFeatures(feats_train)
x_test = RealFeatures(feats_test)
y_train = BinaryLabels(labels_train)
y_test = BinaryLabels(labels_test)

svm.train()
predict = svm.apply_binary(x_test)

eval = AccuracyMeasure()
accuracy = eval.evaluate(predict, y_test)