def METHOD_NAME():
    simple_config_override = DataHubClassifier.create(
        config_dict={"confidence_level_threshold": 0.7}
    ).config
    assert simple_config_override.info_types_config is not None
    complex_config_override = DataHubClassifier.create(
        config_dict={
            "confidence_level_threshold": 0.7,
            "info_types_config": {
                "Age": {
                    "Prediction_Factors_and_Weights": {
                        "Name": 0.5,
                        "Description": 0,
                        "Datatype": 0,
                        "Values": 0.5,
                    },
                },
            },
        }
    ).config
    assert complex_config_override.info_types_config is not None
    assert (
        complex_config_override.info_types_config[
            "Age"
        ].Prediction_Factors_and_Weights.Name
        == 0.5
    )
    assert (
        complex_config_override.info_types_config[
            "Age"
        ].Prediction_Factors_and_Weights.Values
        == 0.5
    )
    assert complex_config_override.info_types_config["Age"].Name is not None
    assert complex_config_override.info_types_config["Age"].Values is not None
    assert complex_config_override.info_types_config["Email_Address"] is not None