class_docstr: This class defines the certain data operation implementation for time series
  forecasting
  
  Args:
      operation_type: str type of the operation defined in operation or
          data operation repositories
      params: hyperparameters to fit the model with
class_docstr_tok: ["This","class","defines","the","certain","data","operation","implementation","for","time","series","forecasting","Args",":","operation_type",":","str","type","of","the","operation","defined","in","operation","or","data","operation","repositories","params",":","hyperparameters","to","fit","the","model","with"]
code: def __init__(
      self,
      operation_type: str,
      params: Optional[OperationParameters] = None,
  ):
      super().__init__(operation_type, params)
      self.operation = self._convert_to_operation(self.operation_type)
  
imports: import warnings
  from typing import Optional
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.evaluation.evaluation_interfaces import EvaluationStrategy
  from fedot.core.operations.evaluation.operation_implementations.data_operations.ts_transformations import ExogDataTransformationImplementation, GaussianFilterImplementation, LaggedTransformationImplementation, TsSmoothingImplementation, SparseLaggedTransformationImplementation, CutImplementation, NumericalDerivativeFilterImplementation
  from fedot.core.operations.evaluation.operation_implementations.models.ts_implementations.arima import ARIMAImplementation, STLForecastARIMAImplementation
  from fedot.core.operations.evaluation.operation_implementations.models.ts_implementations.cgru import CGRUImplementation
  from fedot.core.operations.evaluation.operation_implementations.models.ts_implementations.naive import RepeatLastValueImplementation, NaiveAverageForecastImplementation
  from fedot.core.operations.evaluation.operation_implementations.models.ts_implementations.poly import PolyfitImplementation
  from fedot.core.operations.evaluation.operation_implementations.models.ts_implementations.statsmodels import AutoRegImplementation, GLMImplementation, ExpSmoothingImplementation
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.utilities.random import ImplementationRandomStateHandler
label_desc: Use image node_id 1 to create a new FedotTsTransformingStrategy object from inherited base classes: EvaluationStrategy with example: obj = FedotTsTransformingStrategy(operation_type, params)