code: def create_preproc_module(
      metadata: TrainingSetMetadataDict,
  ) -> torch.nn.Module:
      return _SetPreprocessing(metadata, is_bag=True)
  
imports: import logging
  from collections import Counter
  import numpy
  import torch
  from ludwig.constants import BAG, COLUMN, NAME, PROC_COLUMN
  from ludwig.features.base_feature import BaseFeatureMixin, InputFeature
  from ludwig.features.feature_utils import set_str_to_idx
  from ludwig.features.set_feature import _SetPreprocessing
  from ludwig.schema.features.bag_feature import BagInputFeatureConfig
  from ludwig.types import FeatureMetadataDict, ModelConfigDict, PreprocessingConfigDict, TrainingSetMetadataDict
  from ludwig.utils.strings_utils import create_vocabulary
label_desc: Use image node_id 7 for calling the BagInputFeature obj's underlying member method code with example usage: obj.create_preproc_module(metadata) and returns: _SetPreprocessing