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)
我收到错误的意外关键字参数。
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 doc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?
答案 0 :(得分:7)
您安装的sklearn版本可能与文档过时了。 如果您使用anaconda安装了sklearn,请尝试在命令行上运行 “conda update scikit-learn”