code: def test_json_regression():
      data = synthetic_regression()
      X = data["full"]["X"]
      y = data["full"]["y"]
      feature_types = ["continuous"] * X.shape[1]
      feature_types[0] = "nominal"
  
      clf = ExplainableBoostingRegressor(
          max_bins=5,
          max_interaction_bins=4,
          feature_types=feature_types,
          interactions=[(1, 2), (2, 3)],
      )
      clf.fit(X, y)
  
      with warnings.catch_warnings():
          warnings.filterwarnings(
              "ignore", "JSON formats are in beta.*"
          )
  
          clf.to_jsonable(detail="all")
  
imports: import math
  from sklearn.metrics import log_loss
  from interpret.utils import make_synthetic
  from ...tutils import synthetic_multiclass, synthetic_classification, iris_classification, smoke_test_explanations
  from ...tutils import synthetic_regression
  from interpret.glassbox import ExplainableBoostingRegressor, ExplainableBoostingClassifier
  from interpret.privacy import DPExplainableBoostingClassifier, DPExplainableBoostingRegressor
  from interpret.utils import inv_link
  from io import StringIO
  import json
  import numpy
  import pandas
  from sklearn.model_selection import train_test_split
  from sklearn.metrics import accuracy_score
  from sklearn.utils.estimator_checks import check_estimator
  import pytest
  import warnings
label_desc: Use image node_id 41 for calling a global function with example usage: test_json_regression() without return types