Error when importing DecisionTreeClassifier from sklearn

Question

When I try to import a DecisionTreeClassifier from sklearn.tree I receive the following attribute error: AttributeError: module 'numpy' has no attribute 'float'

My code is:

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

Output:

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

Sklearn 0.23.2 is roughly 4 years old. Have you tried upgrading to the latest version? — Nick ODell
– Nick ODell, Commented Feb 17, 2024 at 19:29
and if for some reason you must use this older sklearn, you probably need to also install an older numpy — Ben Reiniger
– Ben Reiniger, Commented Feb 18, 2024 at 1:29

Elnaz · Accepted Answer · 2024-02-18 07:06:44Z

0

You are getting this error because you are using np.float as a data type, which is no longer supported by NumPy. As the error message suggests, you should replace np.float with float or np.float64 in your code.

import numpy as np
a = np.array([1.2, 3.4, 5.6], dtype=float) # use float instead of 
np.float

Please try this and five an update.

answered Feb 18, 2024 at 7:06

Elnaz

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