code: def test_should_be_serializable(self):
      # Given
      dataset_stream = io.StringIO(
          """
  ---
  type: intent
  name: intent1
  utterances:
    - foo bar
  
  ---
  type: intent
  name: intent2
  utterances:
    - lorem ipsum"""
      )
      dataset = Dataset.from_yaml_files("en", [dataset_stream]).json
      intent_classifier = LogRegIntentClassifier(random_state=42).fit(
          dataset
      )
      coeffs = intent_classifier.classifier.coef_.tolist()
      intercept = intent_classifier.classifier.intercept_.tolist()
      t_ = intent_classifier.classifier.t_
  
      # When
      intent_classifier.persist(self.tmp_file_path)
  
      # Then
      intent_list = ["intent1", "intent2", None]
      expected_dict = {
          "config": LogRegIntentClassifierConfig().to_dict(),
          "coeffs": coeffs,
          "intercept": intercept,
          "t_": t_,
          "intent_list": intent_list,
          "featurizer": "featurizer",
      }
      metadata = {"unit_name": "log_reg_intent_classifier"}
      self.assertJsonContent(
          self.tmp_file_path / "metadata.json", metadata
      )
      self.assertJsonContent(
          self.tmp_file_path / "intent_classifier.json", expected_dict
      )
      featurizer_path = self.tmp_file_path / "featurizer"
      self.assertTrue(featurizer_path.exists())
      self.assertTrue(featurizer_path.is_dir())
  
imports: from __future__ import unicode_literals
  import io
  import sys
  from builtins import str
  from unittest import skipIf
  from checksumdir import dirhash
  from mock import patch
  from snips_nlu.common.io_utils import temp_dir
  from snips_nlu.constants import INTENTS, LANGUAGE_EN, RES_INTENT_NAME, RES_PROBA, UTTERANCES
  from snips_nlu.dataset import Dataset
  from snips_nlu.exceptions import NotTrained
  from snips_nlu.intent_classifier import LogRegIntentClassifier
  from snips_nlu.intent_classifier.featurizer import Featurizer
  from snips_nlu.intent_classifier.log_reg_classifier_utils import text_to_utterance
  from snips_nlu.pipeline.configs import LogRegIntentClassifierConfig
  from snips_nlu.result import intent_classification_result
  from snips_nlu.tests.utils import FixtureTest, get_empty_dataset
label_desc: Use image node_id 9 for calling the TestLogRegIntentClassifier obj's underlying member method code with example usage: obj.test_should_be_serializable() without return types