code: def verify_predict_as_pandas_multiclass(test_data, predictor):
      pandas_pred = predictor.predict(test_data, as_pandas=True)
      pandas_proba = predictor.predict_proba(test_data, as_pandas=True)
      pandas_proba_as_multiclass = predictor.predict_proba(
          test_data, as_pandas=True, as_multiclass=True
      )
      pandas_proba_no_multiclass = predictor.predict_proba(
          test_data, as_pandas=True, as_multiclass=False
      )
  
      proba_as_multiclass = predictor.predict_proba(
          test_data, as_pandas=False, as_multiclass=True
      )
      proba_as_multiclass = predictor.predict_proba(
          test_data, as_pandas=False, as_multiclass=True
      )
  
imports: import os
  import shutil
  import tempfile
  import uuid
  from unittest import mock
  import numpy.testing
  import pandas
  import pytest
  import torch
  from omegaconf import OmegaConf
  from autogluon.multimodal import MultiModalPredictor
  from autogluon.multimodal.constants import BINARY, FEW_SHOT_CLASSIFICATION, MULTICLASS
  from autogluon.multimodal.utils.misc import shopee_dataset
  from ..predictor.test_predictor import verify_predictor_save_load, verify_realtime_inference
  from ..utils.utils import get_home_dir
label_desc: Use image node_id 2 for calling a global function with example usage: verify_predict_as_pandas_multiclass(test_data, predictor) without return types