ImportError: cannot import name VarianceThreshold

Question

scikit-learn 似乎有效，但当我这样做时：

from sklearn.feature_selection import VarianceThreshold

我收到以下错误：

ImportError: cannot import name VarianceThreshold

如何绕过这个？我是Python的新手，所以我不知道该怎么做。

我按照此处的建议调整了导入顺序：ImportError: Cannot import name X，但运气不好。

import sys
import pandas as pd
import numpy as np
import operator
from sklearn.feature_selection import VarianceThreshold
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.feature_extraction.text import HashingVectorizer
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.preprocessing import normalize
from sklearn import decomposition

我也收到这个：

code/python/k_means/serial_version$ python -c 'import sklearn; print(sklearn.VarianceThreshold)'
Traceback (most recent call last):
  File "<string>", line 1, in <module>
AttributeError: 'module' object has no attribute 'VarianceThreshold'

版本：

>>> import sklearn
>>> sklearn.__version__
'0.14.1'

Answer 1

可以通过捕获异常来绕过

try:
    from sklearn.feature_selection import VarianceThreshold
except:
    pass  # it will catch any exception here

如果只想捕获属性错误异常，请使用下面的方法

try:
    from sklearn.feature_selection import VarianceThreshold
except AttributeError:
    pass # catches only Attribute Exception

ImportError: cannot import name VarianceThreshold

ImportError: cannot import name VarianceThreshold

python

machine-learning

bigdata

python-2.7

scikit-learn