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: Start Time Column.
  
  Type: ``str``.
  
  :examples:
  
  >>> heart = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/coxph_test/heart.csv")
  >>> predictor = "age"
  >>> response = "event"
  >>> train, valid = heart.split_frame(ratios=[.8])
  >>> heart_coxph = H2OCoxProportionalHazardsEstimator(start_column="start",
  ...                                                  stop_column="stop")
  >>> heart_coxph.train(x=predictor,
  ...                   y=response,
  ...                   training_frame=train,
  ...                   validation_frame=valid)
  >>> heart_coxph.scoring_history()
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code: def start_column(self):
      """
      Start Time Column.
  
      Type: ``str``.
  
      :examples:
  
      >>> heart = h2o.import_file("http://s3.amazonaws.com/h2o-public-test-data/smalldata/coxph_test/heart.csv")
      >>> predictor = "age"
      >>> response = "event"
      >>> train, valid = heart.split_frame(ratios=[.8])
      >>> heart_coxph = H2OCoxProportionalHazardsEstimator(start_column="start",
      ...                                                  stop_column="stop")
      >>> heart_coxph.train(x=predictor,
      ...                   y=response,
      ...                   training_frame=train,
      ...                   validation_frame=valid)
      >>> heart_coxph.scoring_history()
      """
      return self._parms.get("start_column")
  
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 4 for calling the H2OCoxProportionalHazardsEstimator obj's underlying member method code with example usage: obj.start_column() and returns: self