code: def get_scores(self, *args) -> pd.Series:
      rank_df = self.term_ranker_.get_ranks("")
      a = rank_df[self.category_name] + self.alpha
      b = rank_df[self.not_category_names].sum(axis=1) + self.alpha
      return log_odds_ratio_with_prior_from_counts(a, b)
  
file_path: scattertext/scattertext/termscoring/LogOddsRatio.py
imports: import numpy
  import pandas
  from scattertext.termscoring.CorpusBasedTermScorer import CorpusBasedTermScorer
label_desc: Use image node_id 3 for calling the LogOddsRatioUninformativePriorScorer obj's underlying member method code with example usage: obj.get_scores() and returns: log_odds_ratio_with_prior_from_counts