chapter_3.py 文件源码

def plot_xor():
    np.random.seed(0)
    X_xor = np.random.randn(200, 2)
    y_xor = np.logical_xor(X_xor[:, 0] > 0, X_xor[:, 1] > 0)
    y_xor = np.where(y_xor, 1, -1)

    svm = SVC(kernel='rbf', random_state=0, gamma=0.1, C=10.0)
    svm.fit(X_xor, y_xor)
    plot_decision_regions(X_xor, y_xor, classifier=svm)

    plt.legend(loc='upper left')
    plt.show()