class_docstr: Abstraction which performs slot filling
  
  A custom slot filler must inherit this class to be used in a
  :class:`.ProbabilisticIntentParser`
docstr: Fit the slot filler with a valid Snips dataset
docstr_tok: ["Fit","the","slot","filler","with","a","valid","Snips","dataset"]
code: def fit(self, dataset, intent):
      """Fit the slot filler with a valid Snips dataset"""
      pass
  
file_path: snips-nlu/snips_nlu/slot_filler/slot_filler.py
imports: from abc import abstractmethod, ABCMeta
  from future.utils import with_metaclass
  from snips_nlu.common.abc_utils import classproperty
  from snips_nlu.pipeline.processing_unit import ProcessingUnit
label_desc: Use image node_id 2 for calling the SlotFiller obj's underlying member method code with example usage: obj.fit(dataset, intent) without return types