class_docstr: Configuration used by a :class:`.LogRegIntentClassifier` which defines
  how to augment data to improve the training of the classifier
class_docstr_tok: ["Configuration","used","by","a",":","class",":","`",".LogRegIntentClassifier","`","which","defines","how","to","augment","data","to","improve","the","training","of","the","classifier"]
code: def to_dict(self):
      return {
          "min_utterances": self.min_utterances,
          "noise_factor": self.noise_factor,
          "add_builtin_entities_examples": self.add_builtin_entities_examples,
          "unknown_word_prob": self.unknown_word_prob,
          "unknown_words_replacement_string": self.unknown_words_replacement_string,
          "max_unknown_words": self.max_unknown_words,
      }
  
imports: from __future__ import unicode_literals
  from snips_nlu.common.from_dict import FromDict
  from snips_nlu.constants import CUSTOM_ENTITY_PARSER_USAGE, NOISE, STEMS, STOP_WORDS, WORD_CLUSTERS
  from snips_nlu.entity_parser.custom_entity_parser import CustomEntityParserUsage
  from snips_nlu.pipeline.configs import Config, ProcessingUnitConfig
  from snips_nlu.resources import merge_required_resources
label_desc: Use image node_id 3 for calling the IntentClassifierDataAugmentationConfig obj's underlying member method code with example usage: obj.to_dict() and returns: dict