code: def setupTrainModel(initM, seed):
      rank = 3
      gx = 0.25
      gy = 0.25
      trans = "STANDARDIZE"
  
      return H2OGeneralizedLowRankEstimator(
          k=rank,
          loss="Quadratic",
          gamma_x=gx,
          gamma_y=gy,
          transform=trans,
          init=initM,
          seed=seed,
      )
  
imports: import sys
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.glrm import H2OGeneralizedLowRankEstimator
label_desc: Use image node_id 2 for calling a global function with example usage: setupTrainModel(initM, seed) and returns: H2OGeneralizedLowRankEstimator