docstr: Parameters
  ----------
  y_i, np.array(int)
          Arrays of word counts of words occurring in positi ve class
  y_j, np.array(int)
  
  Returns
  -------
  np.array of z-scores
docstr_tok: ["Parameters","--","--","--","--","--","y_i",",","np.array","(","int",")","Arrays","of","word","counts","of","words","occurring","in","positi","ve","class","y_j",",","np.array","(","int",")","Returns","--","--","--","-","np.array","of","z-scores"]
code: def get_zeta_i_j_given_separate_counts(self, y_i, y_j):
      """
      Parameters
      ----------
      y_i, np.array(int)
              Arrays of word counts of words occurring in positi ve class
      y_j, np.array(int)
  
      Returns
      -------
      np.array of z-scores
      """
      n_i, n_j = y_i.sum(), y_j.sum()
      delta_i_j = np.log((y_i + 1) / (1.0 + n_i - y_i)) - np.log(
          (y_j + 1) / (1.0 + n_j - y_j)
      )
      return delta_i_j
  
file_path: scattertext/scattertext/termsignificance/LogOddsRatioSmoothed.py
imports: import numpy
  from scipy.special import ndtr
  from scattertext.Scalers import scale_neg_1_to_1_with_zero_mean_abs_max
  from scattertext.termranking import AbsoluteFrequencyRanker
  from scattertext.termsignificance.TermSignificance import TermSignificance
label_desc: Use image node_id 6 for calling the LogOddsRatioSmoothed obj's underlying member method code with example usage: obj.get_zeta_i_j_given_separate_counts(y_i, y_j) and returns: delta_i_j