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: Predict the class labels for the provided data.
  
  :param X: Data to predict the labels for.
  :type X: pandas.DataFrame
  :return: Predicted class labels.
  :rtype: list
docstr_tok: ["Predict","the","class","labels","for","the","provided","data",".",":","param","X",":","Data","to","predict","the","labels","for",".",":","type","X",":","pandas.DataFrame",":","return",":","Predicted","class","labels",".",":","rtype",":","list"]
code: def predict(self, X):
      """Predict the class labels for the provided data.
  
      :param X: Data to predict the labels for.
      :type X: pandas.DataFrame
      :return: Predicted class labels.
      :rtype: list
      """
      index = X.index
      predictions = self.index_predictions(index, self.predictions)
      if (
          self.task_type == ModelTask.MULTILABEL_IMAGE_CLASSIFICATION
          or self.task_type == ModelTask.OBJECT_DETECTION
      ):
          return predictions
      if self.classes is not None:
          predictions = [self.classes[y] for y in predictions]
      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 3 for calling the WrappedIndexPredictorModel obj's underlying member method code with example usage: obj.predict(X) and returns: predictions, predictions