CODEWITHSUNDEEP
pythonmachine-learningsvmscikit-learn
m_amber
m_amber

Reputation: 757

Bad input shape error on SVM training using scikit

I m a little new to scikit and ML. I m trying to train an SVM classifier for one vs all classification. I m using the following code.

g=list()
for i in range(0,120):
    g.append(1)
for i in range(120,240):
    g.append(2)

u=set(g)
numclasses=len(u)

lin_clf = svm.LinearSVC()
lin_clf.fit(features,u)

Features is a 72900*120 array. I m getting features from a different python code and calling that here. It throws the following warning and error.

/usr/lib/python2.7/dist-packages/scipy/misc/pilutil.py:279: 
DeprecationWarning: fromstring() is deprecated. Please call frombytes() instead.
image = Image.fromstring(mode, shape, strdata)

error

ValueError: bad input shape ()

Please comment if you need the code for feature extraction. Thank you in advance.

Upvotes: 3

Views: 14021

Answers (1)

YS-L
YS-L

Reputation: 14748

Which line of the code is throwing the error? Is it lin_clf.fit(features,u)?

According to the documentation of LinearSVC, the arguments for fit(X,y) are

X : {array-like, sparse matrix}, shape = [n_samples, n_features]

Training vector, where n_samples in the number of samples and n_features is the number of features.

y : array-like, shape = [n_samples]

Target vector relative to X

However, the u in your code is a python set. It should be a numpy array of length 72900.

Upvotes: 9

Related Questions