docstr: Filter n-grams using PMI.
  
  Parameters
  ----------
  alpha : float
  labmda_ : "cressie_read"
          See https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.power_divergence.html for
          options.
docstr_tok: ["Filter","n-grams","using","PMI",".","Parameters","--","--","--","--","--","alpha",":","float","labmda_",":","``","cressie_read","''","See","https",":","\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.stats.power_divergence.html","for","options","."]
code: def __init__(self, minimum_pmi=16):
      """
      Filter n-grams using PMI.
  
      Parameters
      ----------
      alpha : float
      labmda_ : "cressie_read"
              See https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.power_divergence.html for
              options.
      """
      self.minimum_pmi = minimum_pmi
  
imports: import numpy
  import pandas
label_desc: Use image node_id 1 to create a new PhraseSelector object from inherited base classes: object with example: obj = PhraseSelector(minimum_pmi)