code: def _get_20news_vectors(self, categories=None):
      train = fetch_20newsgroups(subset="train", categories=categories)
      vectorizer = CountVectorizer()
      x = vectorizer.fit_transform(train.data)
  
      return x, train.target
  
file_path: small-text/tests/integration/classifiers/test_svm.py
imports: import unittest
  from sklearn.datasets import fetch_20newsgroups
  from sklearn.feature_extraction.text import CountVectorizer
  from small_text.classifiers import ConfidenceEnhancedLinearSVC
label_desc: Use image node_id 1 for calling the ConfidenceEnhancedLinearSVCIntegrationTest obj's underlying member method code with example usage: obj._get_20news_vectors(categories) and returns: x,  train