class_docstr: Base class used for filling in the gaps in time series with simple methods.
  Methods from the SimpleGapFiller class can be used for comparison with more
  complex models in class ModelGapFiller
  
  Args:
      gap_value: value, which identify gap elements in array
class_docstr_tok: ["Base","class","used","for","filling","in","the","gaps","in","time","series","with","simple","methods",".","Methods","from","the","SimpleGapFiller","class","can","be","used","for","comparison","with","more","complex","models","in","class","ModelGapFiller","Args",":","gap_value",":","value",",","which","identify","gap","elements","in","array"]
code: def __init__(self, gap_value: float = -100.0):
      self.gap_value = gap_value
      self.log = default_log(self)
  
imports: from copy import deepcopy
  from typing import List, Union
  import numpy
  from golem.core.log import default_log
  from scipy import interpolate
  from fedot.core.data.data import InputData
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum, TsForecastingParams
label_desc: Use image node_id 1 to create a new SimpleGapFiller object  with example: obj = SimpleGapFiller(gap_value)