def prep_news_data(self):
if not self.news_market_data:
print 'Preparing news and stock data...\n'
news = News('Resources/articles.db')
raw = news.db_articles()
train_raw, test_raw = divide_list_by_ratio(raw) # prep_news_data returns a tuple of vectors, labels
self.train_vecs, self.train_labs = self.prep_news_articles(train_raw, fit=True)
self.test_vecs, self.test_labs = self.prep_news_articles(test_raw)
self.news_market_data = True
self.movie_review_data = False
