class_docstr: Isotonic Regression
class_docstr_tok: ["Isotonic","Regression"]
docstr: Method of handling values of X predictor that are outside of the bounds seen in training.
  
  Type: ``Literal["na", "clip"]``, defaults to ``"na"``.
docstr_tok: ["Method","of","handling","values","of","X","predictor","that","are","outside","of","the","bounds","seen","in","training",".","Type",":","``","Literal","[","``","na","''",",","``","clip","''","]","``",",","defaults","to","``","``","na","''","``","."]
code: def out_of_bounds(self):
      """
      Method of handling values of X predictor that are outside of the bounds seen in training.
  
      Type: ``Literal["na", "clip"]``, defaults to ``"na"``.
      """
      return self._parms.get("out_of_bounds")
  
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 12 for calling the H2OIsotonicRegressionEstimator obj's underlying member method code with example usage: obj.out_of_bounds() and returns: self