Support Vector Machine, Svm, Svm Algorithm, Svm Classifier, Machine Learning.
np.column_stack((X[:, 0]**2, X[:, 1]**2)) return phi_X # here I used phi_x is Φ(x) # Create SVM classifier svm_classifier = svm.SVC(kernel='linear') # Fit SVM classifier on transformed feature space X_transformed = transform_input_space(X) svm_classifier.fit(X_transformed, y) # Visualize input