相关疑难解决方法(0)

我试图比较测试和训练数据集中存在的特征向量.这些特征向量使用scikitlearn库load_svmlight_file以稀疏格式存储.两个数据集的特征向量的维度是相同的.但是,我得到这个错误:"具有多个元素的数组的真值是不明确的.使用a.any()或a.all()."

为什么我收到此错误？我该如何解决？

提前致谢!

from sklearn.datasets import load_svmlight_file
pathToTrainData="../train.txt"
pathToTestData="../test.txt"
X_train,Y_train= load_svmlight_file(pathToTrainData);
X_test,Y_test= load_svmlight_file(pathToTestData);

for ele1 in X_train:
    for ele2 in X_test:
        if(ele1==ele2):
           print "same vector"


---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-3-c1f145f984a6> in <module>()
      7 for ele1 in X_train:
      8     for ele2 in X_test:
----> 9         if(ele1==ele2):
     10            print "same vector"

/Users/rkasat/anaconda/lib/python2.7/site-packages/scipy/sparse/base.pyc in __bool__(self)
    181             return True if self.nnz == 1 else False
    182         else:
--> 183             raise ValueError("The truth value of an array with more than one " …