sklearn LinearSVC - X has 1 features per sample; expecting 5

Question

I\'m trying to predict the class of a test array, but I\'m getting the below error, along with the stack trace:

Traceback (most recent call last):
  File \"/         


        

Answer 1

The variable test is a string - the SVC needs a feature vector with the same number of dimensions as X. You have to transform the test string to a feature vector using the same vectorizer instance, before you feed it to the SVC:

X_test=tvect.transform(test)
classifier.predict(X_test)