sklearn classifier get ValueError: bad input shape

Question

I have a csv, struct is CAT1,CAT2,TITLE,URL,CONTENT, CAT1, CAT2, TITLE ,CONTENT are in chinese.

I want train LinearSVC or Multinomial

Answer 1

Thanks to @meelo, I solved this problem. As he said: in my code, data is a feature vector, target is target value. I mixed up two things.

I learned that TfidfVectorizer processes data to [data, feature], and each data should map to just one target.

If I want to predict two type targets, I need two distinct targets:

1. target_C1 with all C1 value
2. target_C2 with all C2 value.

Then use the two targets and original data to train two classifier for each target.