code: def test_invalid_model_predicted_label_config():
      with pytest.raises(TypeError) as error:
          ModelPredictedLabelConfig(
              probability_threshold="invalid",
          )
      assert (
          "Invalid probability_threshold invalid. Please choose one that can be cast to float."
          in str(error.value)
      )
  
imports: from __future__ import absolute_import, print_function
  import copy
  import pytest
  from mock import MagicMock, Mock, patch
  from sagemaker import Processor, image_uris
  from sagemaker.clarify import BiasConfig, DataConfig, ModelConfig, ModelPredictedLabelConfig, PDPConfig, SageMakerClarifyProcessor, SHAPConfig, TextConfig, ImageConfig, _AnalysisConfigGenerator, DatasetType, ProcessingOutputHandler, SegmentationConfig
label_desc: Use image node_id 16 for calling a global function with example usage: test_invalid_model_predicted_label_config() without return types