code: def glrm_benign():
      print("Importing benign.csv data...")
      benignH2O = h2o.upload_file(
          pyunit_utils.locate("smalldata/logreg/benign.csv")
      )
      benignH2O.describe()
  
      for i in range(8, 16, 2):
          print("H2O GLRM with rank " + str(i) + " decomposition:\n")
          glrm_h2o = H2OGeneralizedLowRankEstimator(
              k=i, init="SVD", recover_svd=True
          )
          glrm_h2o.train(x=benignH2O.names, training_frame=benignH2O)
          glrm_h2o.show()
  
imports: from builtins import str
  from builtins import range
  import sys
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.glrm import H2OGeneralizedLowRankEstimator
label_desc: Use image node_id 1 for calling a global function with example usage: glrm_benign() without return types