code: def test_distributed_stats_models(setup):
      y_data = (y * 10).astype(mt.int32)
      model = MarsDistributedModel(factor=1.2)
      result = model.fit(y_data, X, alpha=0.2)
      prediction = result.predict(X)
  
      X.execute()
  
      assert prediction.ndim == 1
      assert prediction.shape[0] == len(X)
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_distributed_stats_models(setup) without return types