code: def h2o_connection(**init_args):
      """
      A context manager that can be used to create and close a connection to the H2O backend when required.
  
      :param init_args: custom arguments used to create the H2O connection if necessary.
          See :func:`h2o.init` for the list of available arguments.
      :return: a context manager providing a connection to the H2O backend.
      :example:
  
      >>> pipeline = Pipeline(...)  # pipeline using h2o.sklearn estimators
      ... with h2o_connection():
      ...     pipeline.fit(...)
      """
      conn_monitor = H2OConnectionMonitorMixin()
      conn_monitor._init_connection_args = init_args
      return conn_monitor
  
imports: import inspect
  from operator import attrgetter
  import sys
  from sklearn.base import ClassifierMixin, RegressorMixin
  from h2o.utils.mixin import register_submodule
  from ..None import automl
  from ..None import estimators
  from ..None import transforms
  from .wrapper import estimator, params_as_h2o_frames, transformer, H2OConnectionMonitorMixin, H2OEstimatorPredictProbabilitiesSupport, H2OEstimatorScoreSupport, H2OEstimatorTransformSupport
label_desc: Use image node_id 12 for calling a global function with example usage: h2o_connection() and returns: conn_monitor