class_docstr: Class for text cleaning (lemmatization and stemming) operation 
class_docstr_tok: ["Class","for","text","cleaning","(","lemmatization","and","stemming",")","operation"]
docstr: Class doesn't support fit operation
  
  :param input_data: data with features, target and ids to process
docstr_tok: ["Class","does","n't","support","fit","operation",":","param","input_data",":","data","with","features",",","target","and","ids","to","process"]
code: def fit(self, input_data: InputData):
      """Class doesn't support fit operation
  
      :param input_data: data with features, target and ids to process
      """
      pass
  
file_path: FEDOT/fedot/core/operations/evaluation/operation_implementations/data_operations/text_preprocessing.py
imports: import re
  from typing import Optional
  import numpy
  from golem.utilities.requirements_notificator import warn_requirement
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.core.operations.evaluation.operation_implementations.implementation_interfaces import DataOperationImplementation
  from fedot.core.repository.dataset_types import DataTypesEnum
label_desc: Use image node_id 3 for calling the TextCleanImplementation obj's underlying member method code with example usage: obj.fit(input_data) without return types