code: def h2o_median_absolute_error(y_actual, y_predicted):
      """
      Median absolute error regression loss
  
      :param y_actual: H2OFrame of actual response.
      :param y_predicted: H2OFrame of predicted response.
      :returns: median absolute error loss (best is 0.0).
      """
      ModelBase._check_targets(y_actual, y_predicted)
      return (y_predicted - y_actual).abs().median()
  
file_path: h2o-3/h2o-py/h2o/model/models/regression.py
imports: from h2o.exceptions import H2OValueError
  from h2o.model import ModelBase
  from h2o.model.extensions import has_extension
  from h2o.utils.compatibility import *
  from h2o.utils.shared_utils import _colmean
  from h2o.utils.typechecks import assert_is_type
label_desc: Use image node_id 4 for calling a global function with example usage: h2o_median_absolute_error(y_actual, y_predicted) and returns: unknown