code: def glrm_catagorical_bug_fix():
      trainData = h2o.import_file(
          pyunit_utils.locate("smalldata/airlines/AirlinesTest.csv.zip")
      )
      testData = h2o.import_file(
          pyunit_utils.locate(
              "smalldata/airlines/AirlinesTrain.csv.zip"
          )
      )
      glrmModel = H2OGeneralizedLowRankEstimator(k=4)
      glrmModel.train(x=trainData.names, training_frame=trainData)
      predV = glrmModel.predict(testData)
      print(predV)
  
imports: 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_catagorical_bug_fix() without return types