我有一个错误,试图加载一个保存的支持向量机模型。我试着卸载sklearn,NumPy和SciPy,重新安装最新版本(使用pip)。我还在犯这个错误。为什么?
In [1]: import sklearn; print sklearn.__version__
0.18.1
In [3]: import numpy; print numpy.__version__
1.11.2
In [5]: import scipy; print scipy.__version__
0.18.1
In [7]: import pandas; print pandas.__version__
0.19.1
In [10]: clf = joblib.load('model/trained_model.pkl')
---------------------------------------------------------------------------
RuntimeWarning Traceback (most recent call last)
<ipython-input-10-5e5db1331757> in <module>()
----> 1 clf = joblib.load('sentiment_classification/model/trained_model.pkl')
/usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/numpy_pickle.pyc in load(filename, mmap_mode)
573 return load_compatibility(fobj)
574
--> 575 obj = _unpickle(fobj, filename, mmap_mode)
576
577 return obj
/usr/local/lib/python2.7/dist-packages/sklearn/externals/joblib/numpy_pickle.pyc in _unpickle(fobj, filename, mmap_mode)
505 obj = None
506 try:
--> 507 obj = unpickler.load()
508 if unpickler.compat_mode:
509 warnings.warn("The file '%s' has been generated with a "
/usr/lib/python2.7/pickle.pyc in load(self)
862 while 1:
863 key = read(1)
--> 864 dispatch[key](self)
865 except _Stop, stopinst:
866 return stopinst.value
/usr/lib/python2.7/pickle.pyc in load_global(self)
1094 module = self.readline()[:-1]
1095 name = self.readline()[:-1]
-> 1096 klass = self.find_class(module, name)
1097 self.append(klass)
1098 dispatch[GLOBAL] = load_global
/usr/lib/python2.7/pickle.pyc in find_class(self, module, name)
1128 def find_class(self, module, name):
1129 # Subclasses may override this
-> 1130 __import__(module)
1131 mod = sys.modules[module]
1132 klass = getattr(mod, name)
/usr/local/lib/python2.7/dist-packages/sklearn/svm/__init__.py in <module>()
11 # License: BSD 3 clause (C) INRIA 2010
12
---> 13 from .classes import SVC, NuSVC, SVR, NuSVR, OneClassSVM, LinearSVC, \
14 LinearSVR
15 from .bounds import l1_min_c
/usr/local/lib/python2.7/dist-packages/sklearn/svm/classes.py in <module>()
2 import numpy as np
3
----> 4 from .base import _fit_liblinear, BaseSVC, BaseLibSVM
5 from ..base import BaseEstimator, RegressorMixin
6 from ..linear_model.base import LinearClassifierMixin, SparseCoefMixin, \
/usr/local/lib/python2.7/dist-packages/sklearn/svm/base.py in <module>()
6 from abc import ABCMeta, abstractmethod
7
----> 8 from . import libsvm, liblinear
9 from . import libsvm_sparse
10 from ..base import BaseEstimator, ClassifierMixin
__init__.pxd in init sklearn.svm.libsvm (sklearn/svm/libsvm.c:10207)()
RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 80
更新: OK,如下所示,以及
pip uninstall -y scipy scikit-learn
pip install --no-binary scipy scikit-learn
这个错误现在已经消失了,虽然我仍然不知道为什么会发生这样的事情.
发布于 2018-08-20 04:29:25
这是新的numpy版本的问题(1.15.0)
您可以降级numpy,这个问题将得到解决:
sudo pip uninstall numpy
sudo pip install numpy==1.14.5
最后,numpy 1.15.1版本发布,所以警告问题是固定的。 sudo安装numpy==1.15.1
这很管用..。
发布于 2018-07-30 06:06:58
我试过上面提到的方法,但都没有用。但是当我通过apt安装了库之后,这个问题就消失了,
对于Python3,
pip3 uninstall -y numpy scipy pandas scikit-learn
sudo apt update
sudo apt install python3-numpy python3-scipy python3-pandas python3-sklearn
对于Python2,
pip uninstall -y numpy scipy pandas scikit-learn
sudo apt update
sudo apt install python-numpy python-scipy python-pandas python-sklearn
希望这能有所帮助。
发布于 2018-12-28 08:26:47
只需升级你的numpy模块,现在是1.15.4。适用于窗户
pip install numpy --upgrade
https://stackoverflow.com/questions/40845304
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