class_docstr: Repeat last known value of time series to the future -
  LOCF (last observation carried forward)
code: def predict_for_fit(self, input_data: InputData) -> OutputData:
      input_data = copy(input_data)
      forecast_length = input_data.task.task_params.forecast_length
      # Transform the predicted time series into a table
      (
          new_idx,
          transformed_cols,
          new_target,
      ) = transform_features_and_target_into_lagged(
          input_data, forecast_length, self.elements_to_repeat
      )
      input_data.idx = new_idx
      input_data.target = new_target
      forecast = self._generate_repeated_forecast(
          transformed_cols, forecast_length
      )
      output_data = self._convert_to_output(
          input_data, predict=forecast, data_type=DataTypesEnum.table
      )
      return output_data
  
imports: from copy import copy
  import numpy
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.evaluation.operation_implementations.data_operations.ts_transformations import ts_to_table, transform_features_and_target_into_lagged
  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
label_desc: Use image node_id 5 for calling the RepeatLastValueImplementation obj's underlying member method code with example usage: obj.predict_for_fit(input_data) and returns: output_data