These kernels allow linear algorithms to learn non-linear relationships.
# Create a sample dataset X = np.array([[0, 0], [1, 1], [2, 2]]) y = np.array([0, 1, 1]) kernel methods for machine learning with math and python pdf
def predict(self, X): K_pred = self._compute_kernel(X, self.X_train) return K_pred @ self.alpha These kernels allow linear algorithms to learn non-linear