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 training_frame(self, training_frame):
      self._parms["training_frame"] = H2OFrame._validate(
          training_frame, "training_frame"
      )
  
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 3 for calling the H2OCoxProportionalHazardsEstimator obj's underlying member method code with example usage: obj.training_frame(training_frame) without return types