code: def get_coeff(self, alpha, croston_type):
      if croston_type == "SBA":
          return 1.0 - (alpha / 2.0)
      elif croston_type == "SBJ":
          return 1.0 - alpha / (2.0 - alpha)
      # default : any other value is the legacy croston method
      return 1.0
  
file_path: atspy/atspy/TS/Intermittent_Models.py
imports: import numpy
  import pandas
  from .None import SignalDecomposition_AR
  from .None import Utils
  from .None import Perf
  import sys
label_desc: Use image node_id 4 for calling the cCroston_Model obj's underlying member method code with example usage: obj.get_coeff(alpha, croston_type) and returns: int, unknown, unknown