code: def get_modelbridge() -> ModelBridge:
      exp = get_branin_experiment(with_batch=True)
      exp.trials[0].run()
      return Models.LEGACY_BOTORCH(
          # Model bridge kwargs
          experiment=exp,
          data=exp.fetch_data(),
      )
  
file_path: Ax/ax/plot/tests/test_feature_importances.py
imports: from typing import Dict
  import torch
  from ax.modelbridge.base import ModelBridge
  from ax.modelbridge.registry import Models
  from ax.plot.base import AxPlotConfig
  from ax.plot.feature_importances import plot_feature_importance_by_feature, plot_feature_importance_by_feature_plotly, plot_feature_importance_by_metric, plot_feature_importance_by_metric_plotly, plot_relative_feature_importance, plot_relative_feature_importance_plotly
  from ax.utils.common.testutils import TestCase
  from ax.utils.testing.core_stubs import get_branin_experiment
  from ax.utils.testing.mock import fast_botorch_optimize
  from plotly import graph_objects
label_desc: Use image node_id 1 for calling a global function with example usage: get_modelbridge() and returns: Models