code: def test_rai_insights_non_large_data_regression(self):
      (
          train_data,
          test_data,
          y_train,
          y_test,
          feature_names,
      ) = create_housing_data()
      train_data = pd.DataFrame(train_data, columns=feature_names)
      test_data = pd.DataFrame(test_data, columns=feature_names)
      model = create_sklearn_random_forest_regressor(
          train_data, y_train
      )
      train_data[LABELS] = y_train
      test_data[LABELS] = y_test
  
      self.validate_rai_insights_for_non_large_data(
          model, train_data, test_data, LABELS, [], "regression"
      )
  
imports: import json
  from pathlib import Path
  from tempfile import TemporaryDirectory
  import pandas
  import pytest
  from tests.common_utils import create_iris_data
  from rai_test_utils.datasets.tabular import create_housing_data
  from rai_test_utils.models.sklearn import create_sklearn_random_forest_classifier, create_sklearn_random_forest_regressor
  from responsibleai import RAIInsights
  from responsibleai._interfaces import Dataset, TabularDatasetMetadata
label_desc: Use image node_id 5 for calling the TestRAIInsightsNonLargeData obj's underlying member method code with example usage: obj.test_rai_insights_non_large_data_regression() without return types