code: def implementation_info(self) -> str:
      return str(self._convert_to_operation(self.operation_type))
  
imports: import warnings
  from typing import Optional
  import numpy
  from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.evaluation.evaluation_interfaces import EvaluationStrategy
  from fedot.core.operations.evaluation.operation_implementations.data_operations.text_preprocessing import TextCleanImplementation
  from fedot.core.operations.evaluation.operation_implementations.data_operations.text_pretrained import PretrainedEmbeddingsImplementation
  from fedot.core.operations.operation_parameters import OperationParameters
  from fedot.utilities.random import ImplementationRandomStateHandler
label_desc: Use image node_id 5 for calling the SkLearnTextVectorizeStrategy obj's underlying member method code with example usage: obj.implementation_info() and returns: str