class_docstr: Configuration of a :class:`.ProbabilisticIntentParser` object
  
  Args:
      intent_classifier_config (:class:`.ProcessingUnitConfig`): The
          configuration of the underlying intent classifier, by default
          it uses a :class:`.LogRegIntentClassifierConfig`
      slot_filler_config (:class:`.ProcessingUnitConfig`): The configuration
          that will be used for the underlying slot fillers, by default it
          uses a :class:`.CRFSlotFillerConfig`
class_docstr_tok: ["Configuration","of","a",":","class",":","`",".ProbabilisticIntentParser","`","object","Args",":","intent_classifier_config","(",":","class",":","`",".ProcessingUnitConfig","`",")",":","The","configuration","of","the","underlying","intent","classifier",",","by","default","it","uses","a",":","class",":","`",".LogRegIntentClassifierConfig","`","slot_filler_config","(",":","class",":","`",".ProcessingUnitConfig","`",")",":","The","configuration","that","will","be","used","for","the","underlying","slot","fillers",",","by","default","it","uses","a",":","class",":","`",".CRFSlotFillerConfig","`"]
code: def __init__(
      self, intent_classifier_config=None, slot_filler_config=None
  ):
      from snips_nlu.intent_classifier import IntentClassifier
      from snips_nlu.slot_filler import SlotFiller
  
      if intent_classifier_config is None:
          from snips_nlu.pipeline.configs import (
              LogRegIntentClassifierConfig,
          )
  
          intent_classifier_config = LogRegIntentClassifierConfig()
      if slot_filler_config is None:
          from snips_nlu.pipeline.configs import CRFSlotFillerConfig
  
          slot_filler_config = CRFSlotFillerConfig()
      self.intent_classifier_config = IntentClassifier.get_config(
          intent_classifier_config
      )
      self.slot_filler_config = SlotFiller.get_config(
          slot_filler_config
      )
  
imports: from __future__ import unicode_literals
  from snips_nlu.common.from_dict import FromDict
  from snips_nlu.constants import CUSTOM_ENTITY_PARSER_USAGE, STOP_WORDS
  from snips_nlu.entity_parser import CustomEntityParserUsage
  from snips_nlu.pipeline.configs import ProcessingUnitConfig
  from snips_nlu.resources import merge_required_resources
label_desc: Use image node_id 1 to create a new ProbabilisticIntentParserConfig object from inherited base classes: FromDict, ProcessingUnitConfig with example: obj = ProbabilisticIntentParserConfig(intent_classifier_config, slot_filler_config)