code: def test_model_empty_col(model, target, train_frame_empty_col):
      model.train(y=target, training_frame=train_frame_empty_col)
  
      try:
          h_stat = model.h(train_frame_empty_col, ["DCAPS", "GLEASON"])
          print("h_stat", h_stat)
          assert h_stat is not None
      except:
          assert False, "Should work"
  
      print("Test ok")
  
imports: import sys, os
  import h2o
  from tests import pyunit_utils
  from h2o.estimators import H2OGradientBoostingEstimator, H2OXGBoostEstimator
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: test_model_empty_col(model, target, train_frame_empty_col) without return types