3

使用以下代码:

classes = ['ham', 'spam']
dot_data = StringIO()
with open("./plots/ritesh.dot", "w") as f:
    export_graphviz(dt_old.named_steps['classifier'], out_file=f, feature_names=vocab1, class_names=classes)

我收到错误作为意外的关键字参数。

Traceback (most recent call last):
  File "DecisionTree.py", line 198, in <module>
    main()
  File "DecisionTree.py", line 133, in main
    export_graphviz(dt_old.named_steps['classifier'], out_file=f, feature_names=vocab1, class_names=classes)
TypeError: export_graphviz() got an unexpected keyword argument 'class_names'

但在 scikit-learn 文档中明确提到

sklearn.tree.export_graphviz(decision_tree, out_file='tree.dot', max_depth=None, feature_names=None, class_names=None, label='all', filled=False, leaves_parallel=False, impurity=True, node_ids=False, proportion=False, rotate=False, rounded=False, special_characters=False)

TypeError 的原因是什么?

4

1 回答 1

7

您安装的 sklearn 版本可能与文档过时。如果您使用 anaconda 安装 sklearn,请尝试在命令行“conda update scikit-learn”

于 2015-12-07T23:44:30.513 回答