code: def __init__(
      self,
      scaler_algo=DEFAULT_SCALER_ALGO,
      beta=DEFAULT_BETA,
      one_to_neg_one=False,
      priors=None,
      use_score_difference=False,
  ):
      self.scaler_algo_ = scaler_algo
      self.beta_ = beta
      self.one_to_neg_one_ = one_to_neg_one
      self.priors_ = priors
      self.use_score_difference_ = use_score_difference
      assert self.beta_ > 0
  
imports: from abc import ABC, abstractmethod
  import numpy
  import pandas
  from scipy.stats import norm, rankdata
  from scattertext.Common import DEFAULT_SCALER_ALGO, DEFAULT_BETA
label_desc: Use image node_id 1 to create a new ScaledFScorePresets object from inherited base classes: TermScorer with example: obj = ScaledFScorePresets(scaler_algo, beta, one_to_neg_one, priors, use_score_difference)