class_docstr: Isotonic Regression
class_docstr_tok: ["Isotonic","Regression"]
docstr: Whether to keep the cross-validation fold assignment.
  
  Type: ``bool``, defaults to ``False``.
docstr_tok: ["Whether","to","keep","the","cross-validation","fold","assignment",".","Type",":","``","bool","``",",","defaults","to","``","False","``","."]
code: def keep_cross_validation_fold_assignment(self):
      """
      Whether to keep the cross-validation fold assignment.
  
      Type: ``bool``, defaults to ``False``.
      """
      return self._parms.get("keep_cross_validation_fold_assignment")
  
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 22 for calling the H2OIsotonicRegressionEstimator obj's underlying member method code with example usage: obj.keep_cross_validation_fold_assignment() and returns: self