docstr: trend deltas for regularization.
  
  update if trend is modelled differently
docstr_tok: ["trend","deltas","for","regularization",".","update","if","trend","is","modelled","differently"]
code: def get_trend_deltas(self):
      """trend deltas for regularization.
  
      update if trend is modelled differently"""
      pass
  
file_path: neural_prophet/neuralprophet/components/trend/base.py
imports: from abc import abstractmethod
  from neuralprophet.components import BaseComponent
  from neuralprophet.utils_torch import init_parameter
label_desc: Use image node_id 2 for calling the Trend obj's underlying member method code with example usage: obj.get_trend_deltas() without return types