Support Vector Machine, Svm, Svm Algorithm, Svm Classifier, Machine Learning.
following code. import numpy as np import matplotlib.pyplot as plt from sklearn import svm, datasets # Generate some sample data X, y = datasets.make_circles(n_samples=100, noise=0.1, factor=0.5, random_state=42) # Transform input space to feature space def transform_input_space(X): phi_X =