sklearn 0.17.1: ImportError: cannot import name inplace_column_scale
sklearn 0.17.1: ImportError: cannot import name inplace_column_scale
我的 sklearn 之前运行良好,在安装和更新了几个其他包之后,我无法从 sklearn 导入任何模型。
版本:
Python 2.7.12
Anaconda 2.4.1 (x86_64)
sklearn: 0.17.1 (downgrade from 0.18)
spicy: 0.18.1
我尝试过的措施:
restart the shell---> same error
uninstall sklearn, and reinstall it (the newest version is 0.18), downgrade it to 0.17--> same error
- install sklearn and keep the version 0.18 -->still error
我的代码:
from sklearn import svm
错误
Traceback (most recent call last):
File "<ipython-input-1-fe795c4388c4>", line 3, in <module>
from sklearn import svm
File "//anaconda/lib/python2.7/site-packages/sklearn/svm/__init__.py", line 13, in <module>
from .classes import SVC, NuSVC, SVR, NuSVR, OneClassSVM, LinearSVC, \
File "//anaconda/lib/python2.7/site-packages/sklearn/svm/classes.py", line 4, in <module>
from .base import _fit_liblinear, BaseSVC, BaseLibSVM
File "//anaconda/lib/python2.7/site-packages/sklearn/svm/base.py", line 11, in <module>
from ..preprocessing import LabelEncoder
File "//anaconda/lib/python2.7/site-packages/sklearn/preprocessing/__init__.py", line 8, in <module>
from .data import Binarizer
File "//anaconda/lib/python2.7/site-packages/sklearn/preprocessing/data.py", line 25, in <module>
from ..utils.sparsefuncs import (inplace_column_scale,
ImportError: cannot import name inplace_column_scale
除了 svm,当我导入树时,linear_model,同样的事情发生了。
from sklearn.models import linear_model
错误:
Traceback (most recent call last):
File "<ipython-input-3-540f6792b379>", line 1, in <module>
from sklearn.models import linear_model
ImportError: No module named models
代码:
from sklearn import tree
错误:
回溯(最近调用最后):
File "<ipython-input-4-fcc6e7d2ee3e>", line 1, in <module>
from sklearn import tree
File "//anaconda/lib/python2.7/site-packages/sklearn/tree/__init__.py", line 6, in <module>
from .tree import DecisionTreeClassifier
File "//anaconda/lib/python2.7/site-packages/sklearn/tree/tree.py", line 30, in <module>
from ..feature_selection.from_model import _LearntSelectorMixin
File "//anaconda/lib/python2.7/site-packages/sklearn/feature_selection/__init__.py", line 7, in <module>
from .univariate_selection import chi2
File "//anaconda/lib/python2.7/site-packages/sklearn/feature_selection/univariate_selection.py", line 15, in <module>
from ..preprocessing import LabelBinarizer
File "//anaconda/lib/python2.7/site-packages/sklearn/preprocessing/__init__.py", line 8, in <module>
from .data import Binarizer
File "//anaconda/lib/python2.7/site-packages/sklearn/preprocessing/data.py", line 25, in <module>
from ..utils.sparsefuncs import (inplace_column_scale,
ImportError: cannot import name inplace_column_scale
在您的终端中试试这个:
conda install -c anaconda scikit-learn=0.18.1
如果它不起作用,请转到您的终端并尝试:
conda update anaconda
更新完成后,再尝试第一段代码
希望它有效
请看这个问题。
ImportError: cannot import name inplace_column_scale.
我想你也遇到了同样的问题。有几种方法可以解决它。
对于windows.删除python27\Lib\site-packages\sklearn\utils\sparsefuncs.pyd。
对于mac和linux,删除/usr/local/lib/python2.7/site-packages/sklearn/utils/sparsefuncs.so。
如果使用anaconda,删除anaconda/lib/python2.7/site-packages/sklearn/utils/sparsefun cs.so
重新安装 sklearn。
pip 卸载 scikit-learn
点安装 scikit-learn
解决错误:
ImportError: cannot import name 'OrdinalEnconder' from 'sklearn.preprocessing'
(C:\ProgramData\Anaconda3\lib\site-packages\sklearn\preprocessing\__init__.py)
您需要转到路径 "C:\ProgramData\Anaconda3\lib\site-packages\sklearn\preprocessing" 并检查 python 文件 __init__.py
中 OneLabelEncoder 的名称。该名称可以是 LabelEncoder 或其他名称。您需要导入具有相同名称的模块。
以下屏幕截图应该可以帮助您更好地理解这一点:
我的 sklearn 之前运行良好,在安装和更新了几个其他包之后,我无法从 sklearn 导入任何模型。
版本:
Python 2.7.12
Anaconda 2.4.1 (x86_64)
sklearn: 0.17.1 (downgrade from 0.18) spicy: 0.18.1
我尝试过的措施:
restart the shell---> same error
uninstall sklearn, and reinstall it (the newest version is 0.18), downgrade it to 0.17--> same error
- install sklearn and keep the version 0.18 -->still error
我的代码:
from sklearn import svm
错误
Traceback (most recent call last):
File "<ipython-input-1-fe795c4388c4>", line 3, in <module>
from sklearn import svm
File "//anaconda/lib/python2.7/site-packages/sklearn/svm/__init__.py", line 13, in <module>
from .classes import SVC, NuSVC, SVR, NuSVR, OneClassSVM, LinearSVC, \
File "//anaconda/lib/python2.7/site-packages/sklearn/svm/classes.py", line 4, in <module>
from .base import _fit_liblinear, BaseSVC, BaseLibSVM
File "//anaconda/lib/python2.7/site-packages/sklearn/svm/base.py", line 11, in <module>
from ..preprocessing import LabelEncoder
File "//anaconda/lib/python2.7/site-packages/sklearn/preprocessing/__init__.py", line 8, in <module>
from .data import Binarizer
File "//anaconda/lib/python2.7/site-packages/sklearn/preprocessing/data.py", line 25, in <module>
from ..utils.sparsefuncs import (inplace_column_scale,
ImportError: cannot import name inplace_column_scale
除了 svm,当我导入树时,linear_model,同样的事情发生了。
from sklearn.models import linear_model
错误:
Traceback (most recent call last):
File "<ipython-input-3-540f6792b379>", line 1, in <module>
from sklearn.models import linear_model
ImportError: No module named models
代码:
from sklearn import tree
错误: 回溯(最近调用最后):
File "<ipython-input-4-fcc6e7d2ee3e>", line 1, in <module>
from sklearn import tree
File "//anaconda/lib/python2.7/site-packages/sklearn/tree/__init__.py", line 6, in <module>
from .tree import DecisionTreeClassifier
File "//anaconda/lib/python2.7/site-packages/sklearn/tree/tree.py", line 30, in <module>
from ..feature_selection.from_model import _LearntSelectorMixin
File "//anaconda/lib/python2.7/site-packages/sklearn/feature_selection/__init__.py", line 7, in <module>
from .univariate_selection import chi2
File "//anaconda/lib/python2.7/site-packages/sklearn/feature_selection/univariate_selection.py", line 15, in <module>
from ..preprocessing import LabelBinarizer
File "//anaconda/lib/python2.7/site-packages/sklearn/preprocessing/__init__.py", line 8, in <module>
from .data import Binarizer
File "//anaconda/lib/python2.7/site-packages/sklearn/preprocessing/data.py", line 25, in <module>
from ..utils.sparsefuncs import (inplace_column_scale,
ImportError: cannot import name inplace_column_scale
在您的终端中试试这个:
conda install -c anaconda scikit-learn=0.18.1
如果它不起作用,请转到您的终端并尝试:
conda update anaconda
更新完成后,再尝试第一段代码 希望它有效
请看这个问题。 ImportError: cannot import name inplace_column_scale.
我想你也遇到了同样的问题。有几种方法可以解决它。
对于windows.删除python27\Lib\site-packages\sklearn\utils\sparsefuncs.pyd。
对于mac和linux,删除/usr/local/lib/python2.7/site-packages/sklearn/utils/sparsefuncs.so。
如果使用anaconda,删除anaconda/lib/python2.7/site-packages/sklearn/utils/sparsefun cs.so
重新安装 sklearn。 pip 卸载 scikit-learn 点安装 scikit-learn
解决错误:
ImportError: cannot import name 'OrdinalEnconder' from 'sklearn.preprocessing'
(C:\ProgramData\Anaconda3\lib\site-packages\sklearn\preprocessing\__init__.py)
您需要转到路径 "C:\ProgramData\Anaconda3\lib\site-packages\sklearn\preprocessing" 并检查 python 文件 __init__.py
中 OneLabelEncoder 的名称。该名称可以是 LabelEncoder 或其他名称。您需要导入具有相同名称的模块。
以下屏幕截图应该可以帮助您更好地理解这一点: