无法在scikit-learn中导入sklearn.model_selection

Question

我想进口sklearn.model_selection。我试图重新安装scikit-
learn和anaconda，但仍然无法正常工作。这是我得到的错误消息：

ImportError                               Traceback (most recent call last)
<ipython-input-69-e49df3a70ea4> in <module>()
      4 get_ipython().magic(u'matplotlib inline')
      5 # from sklearn.model_selection import train_test_split
----> 6 import sklearn.model_selection

/Users/Lu/anaconda/lib/python2.7/site-packages/sklearn/model_selection/__init__.py in <module>()
----> 1 from ._split import BaseCrossValidator
      2 from ._split import KFold
      3 from ._split import GroupKFold
      4 from ._split import StratifiedKFold
      5 from ._split import TimeSeriesSplit

/Users/Lu/anaconda/lib/python2.7/site-packages/sklearn/model_selection/_split.py in <module>()
     34 from ..utils.random import choice
     35 from ..base import _pprint
---> 36 from ..gaussian_process.kernels import Kernel as GPKernel
     37 
     38 __all__ = ['BaseCrossValidator',

/Users/Lu/anaconda/lib/python2.7/site-packages/sklearn/gaussian_process/__init__.py in <module>()
     11 """
     12 
---> 13 from .gpr import GaussianProcessRegressor
     14 from .gpc import GaussianProcessClassifier
     15 from . import kernels

/Users/Lu/anaconda/lib/python2.7/site-packages/sklearn/gaussian_process/gpr.py in <module>()
     10 import numpy as np
     11 from scipy.linalg import cholesky, cho_solve, solve_triangular
---> 12 from scipy.optimize import fmin_l_bfgs_b
     13 
     14 from sklearn.base import BaseEstimator, RegressorMixin, clone

/Users/Lu/anaconda/lib/python2.7/site-packages/scipy/optimize/__init__.py in <module>()
    232 from .optimize import *
    233 from ._minimize import *
--> 234 from ._root import *
    235 from .minpack import *
    236 from .zeros import *

/Users/Lu/anaconda/lib/python2.7/site-packages/scipy/optimize/_root.py in <module>()
     17 
     18 from .optimize import MemoizeJac, OptimizeResult, _check_unknown_options
---> 19 from .minpack import _root_hybr, leastsq
     20 from ._spectral import _root_df_sane
     21 from . import nonlin

/Users/Lu/anaconda/lib/python2.7/site-packages/scipy/optimize/minpack.py in <module>()
      2 
      3 import warnings
----> 4 from . import _minpack
      5 
      6 import numpy as np

ImportError: cannot import name _minpack

Answer 1

检查您的scikit学习版本；

import sklearn
print(sklearn.__version__)

sklearn.model_selection 适用于版本0.18.1。

您需要导入什么取决于您的需求。例如，在版本0.18.1中，GridSearchCV可以导入为

from sklearn.model_selection import GridSearchCV

而在版本0.17.1中，可以导入与

from sklearn.grid_search import GridSearchCV

如果您在新的scikit文档中发现任何不适用于您的系统的内容，请在文档中搜索您正在使用的当前版本。导入路径可能不同，但总体功能应相同。

如果您以前没有任何需要较旧版本的项目或代码，则更好的选择是更新scikit-learn软件包。如您所述，您使用Anaconda时，以下帖子将非常有用：

如何在Anaconda中升级scikit-
learn软件包