多类分类中每个类的特征重要性

Question

我构建了一个决策树，它也为我的分类提供了特征重要性。但是我怎么能告诉我的程序给我每个类的特征重要性呢？为了给我整体功能的重要性，我有这个代码：

importances = tree.feature_importances_
#std = np.std([tree.feature_importances_ for tree in forest.estimators_],
            # axis=0)
indices = np.argsort(importances)[::-1]

# Print the feature ranking
print("Feature ranking:")

for f in range(X.shape[1]):
    print("%d. feature %d (%f)" % (f + 1, indices[f], importances[indices[f]]))

# Plot the feature importances of the forest
plt.figure()
plt.title("Feature importances")
plt.bar(range(X.shape[1]), importances[indices],
       color="r", yerr=std[indices], align="center")
plt.xticks(range(X.shape[1]), [feature_cols[i] for i in indices])
plt.xlim([-1, X.shape[1]])
plt.show()

我有四个类 - 0、1、2、3。有人知道解决方案吗？