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I have downloaded the MNIST files from:

http://yann.lecun.com/exdb/mnist/index.html

because I want to train an SVM like the following:

clf_svm = LinearSVC()
clf_svm.fit(X_train, y_train)

but I see that the data that I downloaded is divided in training images and labels, so how can I join them to form a numpy array that comprises the X_train variable.

I have tried to do the following:

path_train="D:\\Anaconda\\t10k-images-idx3-ubyte\\t10k-images.idx3-ubyte"
f=open(path_train,"rb")
train_data=cPickle.load(f)

but I got the following error:

train_data=cPickle.load(f)

EOFError

so the question is how to form that X_train with the information that I need?

Thanks

Improve this question
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  • Possible duplicate of stackoverflow.com/questions/39195113/… Please refer to this link for solution Commented Aug 9, 2018 at 2:55
  • 2
    I think you should use train_data=cPickle.load(f). Commented Aug 9, 2018 at 3:06
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