code: def run_test():
      training_data = h2o.import_file(
          pyunit_utils.locate("smalldata/logreg/benign.csv")
      )
      Y = 3
      X = [0, 1, 2, 4, 5, 6, 7, 8, 9, 10]
      model = H2OGeneralizedLinearEstimator(
          family="binomial", alpha=0, Lambda=1e-5
      )
      model.train(x=X, y=Y, training_frame=training_data)
  
imports: import sys
  from tests import pyunit_utils
  import h2o
  from h2o.estimators.glm import H2OGeneralizedLinearEstimator
  from io import StringIO
label_desc: Use image node_id 2 for calling a global function with example usage: run_test() without return types