未解决问题

•python机器学习基础教程 P34

ax.plot(X_train, y_train, '^', c = mglearn.cm2(0), markersize = 8) 中 c = mglearn.cm2(0)和markersize = 8的含义

 

•mglearn.plots.plot_2d_separator(clf, X, fill = True, eps = 0.5, ax = ax, alpha = .4)

函数mglearn.plots.plot_2d_separator()的用途以及各参数的含义

 

•《python机器学习基础教程》P₇₃ 程序k_svm

mask = y == 0   #不懂含义

#不懂X_new[mask, 0]中mask的功能

ax.scatter(X_new[mask, 0], X_new[mask, 1], X_new[mask, 2], c = 'b', cmap = mglearn.cm2, s = 60)
ax.scatter(X_new[~mask, 0], X_new[~mask, 1], X_new[~mask, 2], c = 'r', cmap = mglearn.cm2, s = 60, marker = '^')

 

•《python机器学习基础教程》P₇₄ 程序k_svm

decision_function()的功能

 

•《python机器学习基础教程》P91 程序 decision function

y_named = np.array(["blue", "red"])[y]

 

•《python机器学习基础教程》P115 程序 PCA_wild face

mask[np.where(people.target == target)[0][:50]] = 1 中[0]的作用