从sklearn导入DecisionTreeClassifier时出现AttributeError错误求助

你的代码：

import sklearn
print(sklearn.__version__)
from sklearn.tree import DecisionTreeClassifier

运行后输出：

0.23.2

AttributeError: module 'numpy' has no attribute 'float'.
`np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

问题原因 #

你使用的scikit-learn版本（0.23.2）过于老旧，与1.20及以上版本的numpy不兼容。老版本scikit-learn内部仍在调用numpy已经弃用并移除的np.float别名，从而触发该错误。

解决办法 #

• 推荐方案：升级scikit-learn
  执行以下命令升级到兼容新版numpy的版本：

  pip install --upgrade scikit-learn
  

  建议升级到0.24.2及以上版本，该版本开始修复了与numpy 1.20的兼容性问题。

• 备选方案：降级numpy（不推荐）
  若暂时无法升级scikit-learn，可将numpy降级到1.19.x版本：

  pip install numpy==1.19.5
  

内容的提问来源于stack exchange，提问作者Chris Kucewicz