class_docstr: Configuration of a :class:`.LogRegIntentClassifier`
class_docstr_tok: ["Configuration","of","a",":","class",":","`",".LogRegIntentClassifier","`"]
docstr: Args:
      data_augmentation_config (:class:`IntentClassifierDataAugmentationConfig`):
              Defines the strategy of the underlying data augmentation
      featurizer_config (:class:`FeaturizerConfig`): Configuration of the
          :class:`.Featurizer` used underneath
      noise_reweight_factor (float, optional): this parameter allows to
          change the weight of the None class. By default, the class
          weights are computed using a "balanced" strategy. The
          noise_reweight_factor allows to deviate from this strategy.
code: def __init__(
      self,
      data_augmentation_config=None,
      featurizer_config=None,
      noise_reweight_factor=1.0,
  ):
      """
      Args:
          data_augmentation_config (:class:`IntentClassifierDataAugmentationConfig`):
                  Defines the strategy of the underlying data augmentation
          featurizer_config (:class:`FeaturizerConfig`): Configuration of the
              :class:`.Featurizer` used underneath
          noise_reweight_factor (float, optional): this parameter allows to
              change the weight of the None class. By default, the class
              weights are computed using a "balanced" strategy. The
              noise_reweight_factor allows to deviate from this strategy.
      """
      if data_augmentation_config is None:
          data_augmentation_config = (
              IntentClassifierDataAugmentationConfig()
          )
      if featurizer_config is None:
          featurizer_config = FeaturizerConfig()
      self._data_augmentation_config = None
      self.data_augmentation_config = data_augmentation_config
      self._featurizer_config = None
      self.featurizer_config = featurizer_config
      self.noise_reweight_factor = noise_reweight_factor
  
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 1 to create a new LogRegIntentClassifierConfig object from inherited base classes: FromDict, ProcessingUnitConfig with example: obj = LogRegIntentClassifierConfig(data_augmentation_config, featurizer_config, noise_reweight_factor)