code: def predict_for_fit(self, input_data: InputData):
      self.model.eval()
      predict = self._predict(input_data)
  
      output_data = self._convert_to_output(
          input_data, predict=predict, data_type=DataTypesEnum.table
      )
      return output_data
  
imports: import numpy
  from golem.utilities.requirements_notificator import warn_requirement
  from fedot.core.data.data import InputData
  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 6 for calling the CGRUImplementation obj's underlying member method code with example usage: obj.predict_for_fit(input_data) and returns: output_data