Add svmlin & svmsgd meta example (shogun-toolbox#4404)

* Add svmlin & svmsgd meta example
* Update integration data

examples/meta/src/binary/svmlin.sg

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+File f_feats_train = csv_file("../../data/classifier_binary_2d_linear_features_train.dat")
+File f_feats_test = csv_file("../../data/classifier_binary_2d_linear_features_test.dat")
+File f_labels_train = csv_file("../../data/classifier_binary_2d_linear_labels_train.dat")
+File f_labels_test = csv_file("../../data/classifier_binary_2d_linear_labels_test.dat")
+
+Features feats_train = features(f_feats_train)
+Features feats_test = features(f_feats_test)
+Labels labels_train = labels(f_labels_train)
+Labels labels_test = labels(f_labels_test)
+
+Machine svm = machine("SVMLin", C1=0.9, C2=0.9, epsilon=0.00001, labels=labels_train)
+svm.train(feats_train)
+
+RealVector weights = svm.get_real_vector("w")
+real bias = svm.get_real("bias")
+
+Labels labels_predict = svm.apply(feats_test)
+Evaluation eval = evaluation("AccuracyMeasure")
+real accuracy = eval.evaluate(labels_predict, labels_test)

examples/meta/src/binary/svmsgd.sg

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+File f_feats_train = csv_file("../../data/classifier_binary_2d_linear_features_train.dat")
+File f_feats_test = csv_file("../../data/classifier_binary_2d_linear_features_test.dat")
+File f_labels_train = csv_file("../../data/classifier_binary_2d_linear_labels_train.dat")
+File f_labels_test = csv_file("../../data/classifier_binary_2d_linear_labels_test.dat")
+
+Features feats_train = features(f_feats_train)
+Features feats_test = features(f_feats_test)
+Labels labels_train = labels(f_labels_train)
+Labels labels_test = labels(f_labels_test)
+
+Machine svm = machine("SVMSGD", C1=0.9, C2=0.9, epochs=5, labels=labels_train)
+svm.train(feats_train)
+
+RealVector weights = svm.get_real_vector("w")
+real bias = svm.get_real("bias")
+
+Labels labels_predict = svm.apply(feats_test)
+Evaluation eval = evaluation("AccuracyMeasure")
+real accuracy = eval.evaluate(labels_predict, labels_test)