code: def _infer_encoder_settings(self, config: MLConfig) -> None:
      if config.encoder_settings is not None:
          return
      if not config.infer_encoder_settings:
          return
      if self.data is None:
          print_warning(
              "`infer_encoder_settings` is set to True "
              "but `data` is not provided, it will take no effect."
          )
          return
      b_recognizer = self.b_recognizer
      if b_recognizer is None:
          print_warning(
              "`infer_encoder_settings` is set to True "
              "but `RecognizerBlock` is not provided, it will take no effect"
          )
          return
      encoder_settings = {}
      for original_idx in b_recognizer.index_mapping:
          if (
              b_recognizer.feature_types[original_idx]
              == ColumnTypes.CATEGORICAL
          ):
              dim = b_recognizer.num_unique_features[original_idx]
              encoder_settings[original_idx] = MLEncoderSettings(dim)
      config.encoder_settings = encoder_settings
      d = {k: v.asdict() for k, v in encoder_settings.items()}
      self._defaults["encoder_settings"] = d
  
imports: from typing import Union
  from typing import Optional
  from cftool.misc import print_warning
  from cftool.misc import shallow_copy_dict
  from .basic import SetDefaultsBlock
  from .basic import SetTrainerDefaultsBlock
  from ..core import Block
  from ...schema import DLConfig
  from ...schema import MLConfig
  from ...schema import MLEncoderSettings
  from ...data.ml import MLData
  from ...data.blocks import ColumnTypes
  from ...data.blocks import RecognizerBlock
label_desc: Use image node_id 3 for calling the SetMLDefaultsBlock obj's underlying member method code with example usage: obj._infer_encoder_settings(config) without return types