code: def explanation():
      data = synthetic_classification()
      clf = LogisticRegression()
      clf.fit(data["train"]["X"], data["train"]["y"])
  
      global_exp = clf.explain_global()
      return global_exp
  
imports: from interpret import set_show_addr, get_show_addr, shutdown_show_server, status_show_server
  from interpret import show, init_show_server, preserve, get_visualize_provider, set_visualize_provider
  from ..tutils import synthetic_classification
  from interpret.glassbox import LogisticRegression
  from interpret import show_link
  import requests
  import os
  import tempfile
  import pytest
  from interpret.provider import PreserveProvider
label_desc: Use image node_id 2 for calling a global function with example usage: explanation() and returns: global_exp