class_docstr: A parent class to house common metrics available for the various Metrics types.
  
  The methods here are available across different model categories.
  
  .. note::
      This class and its subclasses are used at runtime as mixins: their methods can (and should) be accessed directly 
      from a metrics object, for example as a result of :func:`~h2o.model.ModelBase.model_performance`.
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docstr: The mean residual deviance for this set of metrics.
  
  :examples:
  
  >>> from h2o.estimators.gbm import H2OGradientBoostingEstimator
  >>> airlines= h2o.import_file("https://s3.amazonaws.com/h2o-public-test-data/smalldata/airlines/AirlinesTest.csv.zip")
  >>> air_gbm = H2OGradientBoostingEstimator()
  >>> air_gbm.train(x=list(range(9)),
  ...               y=9,
  ...               training_frame=airlines,
  ...               validation_frame=airlines)
  >>> air_gbm.mean_residual_deviance(train=True,valid=False,xval=False)
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code: def mean_residual_deviance(self):
      """The mean residual deviance for this set of metrics.
  
      :examples:
  
      >>> from h2o.estimators.gbm import H2OGradientBoostingEstimator
      >>> airlines= h2o.import_file("https://s3.amazonaws.com/h2o-public-test-data/smalldata/airlines/AirlinesTest.csv.zip")
      >>> air_gbm = H2OGradientBoostingEstimator()
      >>> air_gbm.train(x=list(range(9)),
      ...               y=9,
      ...               training_frame=airlines,
      ...               validation_frame=airlines)
      >>> air_gbm.mean_residual_deviance(train=True,valid=False,xval=False)
      """
      return self._metric_json["mean_residual_deviance"]
  
imports: from collections import OrderedDict
  from h2o.display import H2ODisplay, display, repr_def, format_to_html, format_to_multiline
  from h2o.utils.compatibility import *
  from h2o.utils.metaclass import backwards_compatibility, deprecated_fn, h2o_meta
  from h2o.utils.typechecks import is_type, numeric
label_desc: Use image node_id 14 for calling the MetricsBase obj's underlying member method code with example usage: obj.mean_residual_deviance() and returns: self