class_docstr: Abstract Base class for imputation.
class_docstr_tok: ["Abstract","Base","class","for","imputation","."]
docstr: Restore variables from file
  :param file_path: file contain saved parameters.
                    i.e. some parameters are obtained during training,
                    not in trial config, e.g. scaler fit params)
  :param config: the trial config
  :return:
docstr_tok: ["Restore","variables","from","file",":","param","file_path",":","file","contain","saved","parameters",".","i.e",".","some","parameters","are","obtained","during","training",",","not","in","trial","config",",","e.g",".","scaler","fit","params",")",":","param","config",":","the","trial","config",":","return",":"]
code: def restore(self, **config):
      """
      Restore variables from file
      :param file_path: file contain saved parameters.
                        i.e. some parameters are obtained during training,
                        not in trial config, e.g. scaler fit params)
      :param config: the trial config
      :return:
      """
      pass
  
file_path: analytics-zoo/pyzoo/zoo/chronos/autots/deprecated/preprocessing/impute/abstract.py
imports: import numpy
  import pandas
  import sklearn.metrics
  from abc import ABC, abstractmethod
label_desc: Use image node_id 3 for calling the BaseImputation obj's underlying member method code with example usage: obj.restore() without return types