class_docstr: Configuration of a :class:`.LogRegIntentClassifier`
class_docstr_tok: ["Configuration","of","a",":","class",":","`",".LogRegIntentClassifier","`"]
code: def featurizer_config(self, value):
      if isinstance(value, dict):
          self._featurizer_config = FeaturizerConfig.from_dict(value)
      elif isinstance(value, FeaturizerConfig):
          self._featurizer_config = value
      else:
          raise TypeError(
              "Expected instance of FeaturizerConfig or dict"
              "but received: %s" % type(value)
          )
  
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 5 for calling the LogRegIntentClassifierConfig obj's underlying member method code with example usage: obj.featurizer_config(value) without return types