code: def test_regularizationPath():
      boston = h2o.import_file(
          pyunit_utils.locate("smalldata/gbm_test/BostonHousing.csv")
      )
  
      predictors = boston.columns[:-1]
      response = "medv"
      boston["chas"] = boston["chas"].asfactor()
      train, valid = boston.split_frame(ratios=[0.8])
      boston_glm = H2OGeneralizedLinearEstimator(standardize=False)
      boston_glm.train(
          x=predictors,
          y=response,
          training_frame=train,
          validation_frame=valid,
      )
  
      r = boston_glm.getGLMRegularizationPath(boston_glm)
      assert "coefficients_std" not in r
  
imports: from builtins import range
  import sys
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.glm import H2OGeneralizedLinearEstimator
  import math
label_desc: Use image node_id 1 for calling a global function with example usage: test_regularizationPath() without return types