Code QuizIntermediate TF-IDF on Train and Test
Identify the vectorization mistake that gives train and test different feature spaces.
Codepython
from sklearn.feature_extraction.text import TfidfVectorizer
vec = TfidfVectorizer()
X_train = vec.fit_transform(train_texts)
X_test = vec.fit_transform(test_texts)
What is the bug in this code?