class_docstr: Cox Proportional Hazards
  
  Trains a Cox Proportional Hazards Model (CoxPH) on an H2O dataset.
class_docstr_tok: ["Cox","Proportional","Hazards","Trains","a","Cox","Proportional","Hazards","Model","(","CoxPH",")","on","an","H2O","dataset","."]
docstr: Run on a single node to reduce the effect of network overhead (for smaller datasets)
  
  Type: ``bool``, defaults to ``False``.
docstr_tok: ["Run","on","a","single","node","to","reduce","the","effect","of","network","overhead","(","for","smaller","datasets",")","Type",":","``","bool","``",",","defaults","to","``","False","``","."]
code: def single_node_mode(self):
      """
      Run on a single node to reduce the effect of network overhead (for smaller datasets)
  
      Type: ``bool``, defaults to ``False``.
      """
      return self._parms.get("single_node_mode")
  
imports: from h2o.estimators.estimator_base import H2OEstimator
  from h2o.exceptions import H2OValueError
  from h2o.frame import H2OFrame
  from h2o.utils.typechecks import assert_is_type, Enum, numeric
label_desc: Use image node_id 36 for calling the H2OCoxProportionalHazardsEstimator obj's underlying member method code with example usage: obj.single_node_mode() and returns: self