export_text上的错误
我正在尝试使用sklearn.tree（版本1.0.2）的function export_text，但是当我使用parameter feature_names时，我会遇到错误，这就是我正在尝试的
# decision_tree is the fitted algorithm
text_representation = export_text(decision_tree=decision_tree, feature_names=decision_tree.feature_names_in_)
如果我在没有功能的情况下调用该函数，则已经检查了，我已经检查了，并且deciple_tree.feature_names_in _返回正确的名称，
与我用作 算法的输入相同具有相同参数的其他类似功能，对
plot_tree(decision_tree=decision_tree, feature_names=decision_tree.feature_names_in_)
可能出错的情况有什么好处？
I'm trying to use the function export_text from sklearn.tree (version 1.0.2), but when I'm using the parameter feature_names I get an error, this is what I'm trying
# decision_tree is the fitted algorithm
text_representation = export_text(decision_tree=decision_tree, feature_names=decision_tree.feature_names_in_)
If I call the function without the feature_names parameter it works, I already checked and the decision_tree.feature_names_in_ returns the right names, the same I used as input for the algorithm
If I use this other similar function with the same arguments, it works fine
plot_tree(decision_tree=decision_tree, feature_names=decision_tree.feature_names_in_)
any idea of what could it be wrong?
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它看起来像是export_text代码中的一个小错误。尝试强迫
feature_names_in _成为python列表。我假设您使用
pandas.dataframe在生成决策流时，您可以获得feature_names_in _？如果是这种情况，则
feature_names_in _将是numpy.ndarray。export_text代码执行一个简单：如果功能_names：测试要检查功能，但是Numpy会增加您看到的错误。看起来它是特定于
export_text的，因此您看不到plot_treeIt looks like a small bug in the export_text code. Try forcing
features_names_in_to be a python list.I assume you used a
pandas.DataFramewhen generating the DecisionTree so that you get thefeature_names_in_?If that's the case then
feature_names_in_will be anumpy.ndarray.The
export_textcode does a simple:if feature_names:test to check for features, but numpy will raise the error you see.This looks like it's specific to the
export_text, so you don't see it forplot_tree