class_docstr: Wraps model that uses index to retrieve image data for making
  predictions.
class_docstr_tok: ["Wraps","model","that","uses","index","to","retrieve","image","data","for","making","predictions","."]
docstr: Index the predictions.
  
  :param index: The index to use.
  :type index: list
  :param predictions: The predictions to index.
  :type predictions: list
docstr_tok: ["Index","the","predictions",".",":","param","index",":","The","index","to","use",".",":","type","index",":","list",":","param","predictions",":","The","predictions","to","index",".",":","type","predictions",":","list"]
code: def index_predictions(self, index, predictions):
      """Index the predictions.
  
      :param index: The index to use.
      :type index: list
      :param predictions: The predictions to index.
      :type predictions: list
      """
      if not isinstance(index, list):
          index = list(index)
      if isinstance(predictions, list):
          predictions = [predictions[i] for i in index]
      else:
          predictions = predictions[index]
      return predictions
  
imports: import json
  from typing import Any, List, Optional
  import jsonschema
  import numpy
  import pandas
  from ml_wrappers import wrap_model
  from erroranalysis._internal.error_analyzer import ModelAnalyzer
  from erroranalysis._internal.error_report import as_error_report
  from responsibleai._tools.shared.state_directory_management import DirectoryManager
  from responsibleai.managers.error_analysis_manager import ErrorAnalysisManager
  from responsibleai.managers.error_analysis_manager import as_error_config
  from responsibleai_vision.common.constants import MLFlowSchemaLiterals, ModelTask
  from responsibleai_vision.utils.image_reader import get_base64_string_from_path, is_automl_image_model
  from responsibleai_vision.utils.image_utils import get_images
label_desc: Use image node_id 2 for calling the WrappedIndexPredictorModel obj's underlying member method code with example usage: obj.index_predictions(index, predictions) and returns: predictions