class_docstr: Class which contains abstract methods for data preprocessing.
class_docstr_tok: ["Class","which","contains","abstract","methods","for","data","preprocessing","."]
docstr: Converts provided data's and pipeline's indexes for predict
  
  Args:
      pipeline: pipeline whose indexes should be converted
      data: data whose indexes should be converted
  
  Returns:
      converted data
docstr_tok: ["Converts","provided","data","'s","and","pipeline","'s","indexes","for","predict","Args",":","pipeline",":","pipeline","whose","indexes","should","be","converted","data",":","data","whose","indexes","should","be","converted","Returns",":","converted","data"]
code: def convert_indexes_for_predict(
      self, pipeline, data: Union[InputData, MultiModalData]
  ) -> Union[InputData, MultiModalData]:
      """
      Converts provided data's and pipeline's indexes for predict
  
      Args:
          pipeline: pipeline whose indexes should be converted
          data: data whose indexes should be converted
  
      Returns:
          converted data
      """
      raise AbstractMethodNotImplementError
  
imports: from abc import ABC, abstractmethod
  from typing import Dict, Union, TYPE_CHECKING
  import numpy
  from sklearn.preprocessing import LabelEncoder
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.data.multi_modal import MultiModalData
  from fedot.core.operations.evaluation.operation_implementations.data_operations.categorical_encoders import LabelEncodingImplementation, OneHotEncodingImplementation
  from fedot.core.operations.evaluation.operation_implementations.data_operations.sklearn_transformations import ImputationImplementation
  from fedot.preprocessing.categorical import BinaryCategoricalPreprocessor
  from fedot.preprocessing.data_types import TableTypesCorrector
  from fedot.preprocessing.structure import DEFAULT_SOURCE_NAME
  from fedot.utilities.custom_errors import AbstractMethodNotImplementError
label_desc: Use image node_id 10 for calling the BasePreprocessor obj's underlying member method code with example usage: obj.convert_indexes_for_predict(pipeline, data) without return types