code: def define_data(
      self,
      features: Union[InputData, MultiModalData],
      task: Task,
      target: str = None,
      is_predict: bool = False,
  ) -> Union[InputData, MultiModalData]:
      # InputData or MultiModalData format for input data
      data = deepcopy(features)
      data.task = task
      return data
  
imports: from abc import ABC, abstractmethod
  from copy import deepcopy
  from os import PathLike
  from typing import Union, Optional
  import numpy
  import pandas
  from fedot.core.data.data import InputData, array_to_input_data
  from fedot.core.data.multi_modal import MultiModalData
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
label_desc: Use image node_id 1 for calling the FedotStrategy obj's underlying member method code with example usage: obj.define_data(features, task, target, is_predict) and returns: data