class_docstr: VowpalWabbit Model: https://vowpalwabbit.org/
  
  VowpalWabbit Command Line args: https://github.com/VowpalWabbit/vowpal_wabbit/wiki/Command-line-arguments
class_docstr_tok: ["VowpalWabbit","Model",":","https",":","\/\/vowpalwabbit.org\/","VowpalWabbit","Command","Line","args",":","https",":","\/\/github.com\/VowpalWabbit\/vowpal_wabbit\/wiki\/Command-line-arguments"]
code: def _get_default_auxiliary_params(self) -> dict:
      default_auxiliary_params = super()._get_default_auxiliary_params()
      # Ignore the below mentioned special types. Only those features that are not of the below mentioned
      # type are passed to the model for training list are passed features
      extra_auxiliary_params = dict(
          valid_raw_types=[R_INT, R_FLOAT, R_CATEGORY, R_OBJECT],
          ignored_type_group_special=[
              S_IMAGE_PATH,
              S_TEXT_NGRAM,
              S_TEXT_AS_CATEGORY,
              S_TEXT_SPECIAL,
          ],
      )
      default_auxiliary_params.update(extra_auxiliary_params)
      return default_auxiliary_params
  
imports: import logging
  import os
  import time
  import numpy
  import pandas
  from autogluon.common.features.types import R_CATEGORY, R_FLOAT, R_INT, R_OBJECT, S_IMAGE_PATH, S_TEXT_AS_CATEGORY, S_TEXT_NGRAM, S_TEXT_SPECIAL
  from autogluon.common.utils.try_import import try_import_vowpalwabbit
  from autogluon.core.constants import BINARY, MULTICLASS, PROBLEM_TYPES_CLASSIFICATION, PROBLEM_TYPES_REGRESSION, REGRESSION
  from autogluon.core.models import AbstractModel
  from autogluon.core.utils.exceptions import TimeLimitExceeded
  from .vowpalwabbit_utils import VWFeaturesConverter
label_desc: Use image node_id 12 for calling the VowpalWabbitModel obj's underlying member method code with example usage: obj._get_default_auxiliary_params() and returns: default_auxiliary_params