code: def test_set_custom_classifier(self):
      all_data = get_ssts_dataset("train")
      model_config = RNN_MODEL_CONFIG
      preprocessor = GlovePreprocessor(
          TOKEN_COUNT_THRESHOLD, MAX_SENT_COUNT
      )
      preprocessor.build_vocab(all_data[TEXT_COL])
      explainer = IntrospectiveRationaleExplainer(
          classifier_type=CLASSIFIER_TYPE_CUSTOM, cuda=CUDA
      )
      explainer.build_model_config(model_config)
      # set custom classifier
      classifier = ClassifierModule(
          explainer.get_model_config(), preprocessor.word_vocab
      )
      explainer.set_preprocessor(preprocessor)
      explainer.set_classifier(classifier)
      assert explainer.classifier_type is CLASSIFIER_TYPE_CUSTOM
  
imports: import pandas
  import pytest
  from interpret_text.experimental.common.preprocessor.bert_preprocessor import BertPreprocessor
  from interpret_text.experimental.common.preprocessor.glove_preprocessor import GlovePreprocessor
  from interpret_text.experimental.introspective_rationale.components import ClassifierModule
  from interpret_text.experimental.introspective_rationale import IntrospectiveRationaleExplainer
  from model_config_constants import RNN_MODEL_CONFIG, BERT_MODEL_CONFIG
  from utils_test import get_ssts_dataset, setup_mock_rnn_introspective_rationale_explainer, setup_mock_bert_introspective_rationale_explainer
label_desc: Use image node_id 4 for calling the TestIntrospectiveRationaleExplainer obj's underlying member method code with example usage: obj.test_set_custom_classifier() without return types