code: def pyunit_model_params():
      pros = h2o.import_file(
          pyunit_utils.locate("smalldata/prostate/prostate.csv")
      )
      m = H2OKMeansEstimator(k=4)
      m.train(x=list(range(pros.ncol)), training_frame=pros)
      print(m.params)
      print(m.full_parameters)
  
imports: import sys
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.kmeans import H2OKMeansEstimator
label_desc: Use image node_id 1 for calling a global function with example usage: pyunit_model_params() without return types