code: def predict(
      self, trained_operation, predict_data: InputData
  ) -> OutputData:
      raise NotImplementedError()
  
imports: 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.models.boostings_implementations import FedotCatBoostClassificationImplementation, FedotCatBoostRegressionImplementation
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.core.repository.tasks import TaskTypesEnum
  from fedot.utilities.random import ImplementationRandomStateHandler
label_desc: Use image node_id 4 for calling the BoostingStrategy obj's underlying member method code with example usage: obj.predict(trained_operation, predict_data) without return types