code: def __init__(self, params: Optional[OperationParameters] = None):
      super().__init__(params)
      self.model = None
      self.lambda_param = None
      self.scope = None
      self.actual_ts_len = None
  
imports: from copy import copy
  from typing import Optional
  import numpy
  from scipy import stats
  from scipy.special import boxcox, inv_boxcox
  from statsmodels.tsa.api import STLForecast
  from statsmodels.tsa.arima.model import ARIMA
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.evaluation.operation_implementations.data_operations.ts_transformations import ts_to_table
  from fedot.core.operations.evaluation.operation_implementations.implementation_interfaces import ModelImplementation
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.utilities.ts_gapfilling import SimpleGapFiller
label_desc: Use image node_id 1 to create a new STLForecastARIMAImplementation object from inherited base classes: ModelImplementation with example: obj = STLForecastARIMAImplementation(params)