class_docstr: Provides NLU training data during training.
docstr: Creates a new NLU training data provider.
docstr_tok: ["Creates","a","new","NLU","training","data","provider","."]
code: def __init__(
      self,
      config: Dict[Text, Any],
      model_storage: ModelStorage,
      resource: Resource,
  ) -> None:
      """Creates a new NLU training data provider."""
      self._config = config
      self._model_storage = model_storage
      self._resource = resource
  
file_path: rasa/rasa/graph_components/providers/nlu_training_data_provider.py
imports: from __future__ import annotations
  from typing import Dict, Text, Any
  from rasa.engine.graph import GraphComponent, ExecutionContext
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.shared.importers.importer import TrainingDataImporter
  from rasa.shared.nlu.training_data.training_data import TrainingData, DEFAULT_TRAINING_DATA_OUTPUT_PATH
label_desc: Use image node_id 1 to create a new NLUTrainingDataProvider object from inherited base classes: GraphComponent with example: obj = NLUTrainingDataProvider(config, model_storage, resource)