code: def remove_collinear_columns_multinomial():
      train = h2o.import_file(
          pyunit_utils.locate("smalldata/glm_test/multinomial_rcc.csv")
      )
      train[0] = train[0].asfactor()
      mdl = H2OGeneralizedLinearEstimator(
          solver="IRLSM",
          family="multinomial",
          link="family_default",
          seed=76,
          lambda_=[0],
          max_iterations=100000,
          beta_epsilon=1e-7,
          early_stopping=False,
          standardize=True,
          remove_collinear_columns=True,
      )
      mdl.start(
          x=train.col_names[1:],
          y=train.col_names[0],
          training_frame=train,
      )
      mdl.join()
      print("test completed.")
  
imports: import sys
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.glm import H2OGeneralizedLinearEstimator
label_desc: Use image node_id 1 for calling a global function with example usage: remove_collinear_columns_multinomial() without return types