class_docstr: Configuration of a :class:`.CRFSlotFiller`
  
  Args:
      feature_factory_configs (list, optional): List of configurations that
          specify the list of :class:`.CRFFeatureFactory` to use with the CRF
      tagging_scheme (:class:`.TaggingScheme`, optional): Tagging scheme to
          use to enrich CRF labels (default=BIO)
      crf_args (dict, optional): Allow to overwrite the parameters of the CRF
          defined in *sklearn_crfsuite*, see :class:`sklearn_crfsuite.CRF`
          (default={"c1": .1, "c2": .1, "algorithm": "lbfgs"})
      data_augmentation_config (dict or :class:`.SlotFillerDataAugmentationConfig`, optional):
          Specify how to augment data before training the CRF, see the
          corresponding config object for more details.
      random_seed (int, optional): Specify to make the CRF training
          deterministic and reproducible (default=None)
code: def unit_name(self):
      from snips_nlu.slot_filler import CRFSlotFiller
  
      return CRFSlotFiller.unit_name
  
imports: from __future__ import unicode_literals
  from snips_nlu.common.from_dict import FromDict
  from snips_nlu.constants import STOP_WORDS
  from snips_nlu.pipeline.configs import Config, ProcessingUnitConfig, default_features_factories
  from snips_nlu.resources import merge_required_resources
label_desc: Use image node_id 6 for calling the CRFSlotFillerConfig obj's underlying member method code with example usage: obj.unit_name() and returns: CRFSlotFiller