I tried to do the following importations for a machine learning project:
from sklearn import preprocessing, cross_validation, svm
from sklearn.linear_model import LinearRegression
I got this error message:
Traceback (most recent call last):
File "C:/Users/Abdelhalim/PycharmProjects/ML/stock pricing.py", line 4, in <module>
from sklearn import preprocessing, cross_validation, svm
File "C:\Python27\lib\site-packages\sklearn\__init__.py", line 57, in <module>
from .base import clone
File "C:\Python27\lib\site-packages\sklearn\base.py", line 12, in <module>
from .utils.fixes import signature
File "C:\Python27\lib\site-packages\sklearn\utils\__init__.py", line 11, in <module>
from .validation import (as_float_array,
File "C:\Python27\lib\site-packages\sklearn\utils\validation.py", line 18, in <module>
from ..utils.fixes import signature
File "C:\Python27\lib\site-packages\sklearn\utils\fixes.py", line 291, in <module>
from scipy.sparse.linalg import lsqr as sparse_lsqr
File "C:\Python27\lib\site-packages\scipy\sparse\linalg\__init__.py", line 112, in <module>
from .isolve import *
File "C:\Python27\lib\site-packages\scipy\sparse\linalg\isolve\__init__.py", line 6, in <module>
from .iterative import *
File "C:\Python27\lib\site-packages\scipy\sparse\linalg\isolve\iterative.py", line 7, in <module>
from . import _iterative
ImportError: DLL load failed: The specified module could not be found.
Please help I tried everything but nothing worked. I tried these solutions as well: ImportError: DLL load failed: Le module spécifié est introuvable
ImportError: DLL load failed: The specified module could not be found
You should open up "C:\Python27\lib\site-packages\sklearn\utils\fixes.py", and edit the contents. There are two specific changes you should make:
First, copy-and-paste the contents of https://github.com/scikit-learn/scikit-learn/blob/74a9756fa784d1f22873ad23c8b4948c6e290108/sklearn/utils/fixes.py into the file "C:\Python27\lib\site-packages\sklearn\utils\fixes.py".
Second, replace the line if np_version < (1, 12, 0): with if np_version < (1, 12):.
More background info and detail available here, in a great answer from user DSM.
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