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","."]
code: def baseline_hazard_frame(self):
      if (
          self._model_json is not None
          and self._model_json.get("output", {})
          .get("baseline_hazard", {})
          .get("name")
          is not None
      ):
          baseline_hazard_name = self._model_json["output"][
              "baseline_hazard"
          ]["name"]
          return H2OFrame.get_frame(baseline_hazard_name)
  
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 38 for calling the H2OCoxProportionalHazardsEstimator obj's underlying member method code with example usage: obj.baseline_hazard_frame() and returns: H2OFrame