It's still before scale conversion, but I don't understand why the error occurs.
from sklearn.datasets import load_wine
from sklearn.svm import SVC
import numpy as np
from sklearn.model_selection import train_test_split
wine=load_wine()
X_train, X_test, y_train, y_test=\
train_test_split(wine.data, wine.target, strictify=wine.target,
random_state=42)
svc = SVC()
svc.fit(X_train,y_train)
print(svc.score(X_train,y_train))
print(svc.score(X_test,y_test))
No matter how many times I try, I get this kind of error.Anyone who knows, please.
is.Traceback (most recent call last):
File "homework18.py", line 3, in <module>
from sklearn.datasets import load_wine
File"/Users/iwasakiyoshinobu/Desktop/lesson 18/.venv/lib/python 3.6/site-packages/sklearn/_init___.py", line 134, in <module>
from.base import clone
File"/Users/iwasakiyoshinobu/Desktop/lesson 18/.venv/lib/python 3.6/site-packages/sklearn/base.py", line 10, in <module>
import numpy as np
File"/Users/iwasakiyoshinobu/Desktop/lesson 18/.venv/lib/python 3.6/site-packages/numpy/_init__.py", line 142, in <module>
from.import add_newdocs
File"/Users/iwasakiyoshinobu/Desktop/lesson 18/.venv/lib/python 3.6/site-packages/numpy/add_newdocs.py", line 13, in <module>
from numpy.lib import add_newdoc
File"/Users/iwasakiyoshinobu/Desktop/lesson 18/.venv/lib/python 3.6/site-packages/numpy/lib/__init__.py", line 8, in <module>
from.type_check import*
File"/Users/iwasakiyoshinobu/Desktop/lesson 18/.venv/lib/python 3.6/site-packages/numpy/lib/type_check.py", line 11, in <module>
import numpy.core.numeric as_nx
File"/Users/iwasakiyoshinobu/Desktop/lesson 18/.venv/lib/python 3.6/site-packages/numpy/core/__init__.py", line 35, in<module>
from.import_internal# for freeze programs
File"/Users/iwasakiyoshinobu/Desktop/lesson 18/.venv/lib/python 3.6/site-packages/numpy/core/_internal.py", line 18, in <module>
from.numerictypes import object_
File"/Users/iwasakiyoshinobu/Desktop/lesson 18/.venv/lib/python 3.6/site-packages/numpy/core/numerictypes.py", line 297, in<module>
_add_types()
File"/Users/iwasakiyoshinobu/Desktop/lesson 18/.venv/lib/python 3.6/site-packages/numpy/core/numerictypes.py", line 290, in_add_types
allTypes [name] = info.type
AttributeError: 'tuple' object has no attribute' type'
There is no problem with the code, but there is an error when sklearn
calls numpy
in from sklearn.datasets import load_wine
in the first line.This means that there is a problem with the sklearn
and numpy
packages.
sklearn
is a package written with Cython
to speed up the process, so it is likely that the binary compatibility problem occurred because the sklearn
and numpy
were compiled using different compilers and libraries.
numpy
may be compiled to use Intel's MKL or Intel's Python for acceleration, but sklearn
must be compiled in the same way.
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