code: def _get_category_feature_generator(self):
      return CategoryFeatureGenerator(
          minimize_memory=False,
          maximum_num_cat=10,
          post_generators=[OneHotEncoderFeatureGenerator()],
      )
  
file_path: autogluon/features/src/autogluon/features/generators/auto_ml_pipeline.py
imports: import logging
  from autogluon.common.features.types import R_FLOAT, R_INT, R_OBJECT, S_IMAGE_BYTEARRAY, S_IMAGE_PATH, S_TEXT
  from .category import CategoryFeatureGenerator
  from .datetime import DatetimeFeatureGenerator
  from .identity import IdentityFeatureGenerator
  from .isnan import IsNanFeatureGenerator
  from .one_hot_encoder import OneHotEncoderFeatureGenerator
  from .pipeline import PipelineFeatureGenerator
  from .text_ngram import TextNgramFeatureGenerator
  from .text_special import TextSpecialFeatureGenerator
label_desc: Use image node_id 1 for calling the AutoMLInterpretablePipelineFeatureGenerator obj's underlying member method code with example usage: obj._get_category_feature_generator() and returns: CategoryFeatureGenerator