code: def default_sklearn_intent_classifier(
      default_model_storage: ModelStorage,
      default_execution_context: ExecutionContext,
  ):
      return SklearnIntentClassifier.create(
          SklearnIntentClassifier.get_default_config(),
          default_model_storage,
          Resource("sklearn"),
          default_execution_context,
      )
  
imports: import copy
  import logging
  from typing import Callable, List, Text, Tuple
  import pytest
  from _pytest.logging import LogCaptureFixture
  from rasa.nlu.featurizers.dense_featurizer.spacy_featurizer import SpacyFeaturizer
  from rasa.nlu.tokenizers.spacy_tokenizer import SpacyTokenizer
  from rasa.nlu.utils.spacy_utils import SpacyModel, SpacyNLP
  import rasa.shared.nlu.training_data.loading
  from rasa.engine.graph import ExecutionContext, GraphComponent
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.classifiers.sklearn_intent_classifier import SklearnIntentClassifier
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.constants import TEXT, INTENT
  from rasa.shared.nlu.training_data.message import Message
label_desc: Use image node_id 2 for calling a global function with example usage: default_sklearn_intent_classifier(default_model_storage, default_execution_context) and returns: SklearnIntentClassifier