class_docstr: Isotonic Regression
class_docstr_tok: ["Isotonic","Regression"]
code: def fold_assignment(self, fold_assignment):
      assert_is_type(
          fold_assignment,
          None,
          Enum("auto", "random", "modulo", "stratified"),
      )
      self._parms["fold_assignment"] = 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 25 for calling the H2OIsotonicRegressionEstimator obj's underlying member method code with example usage: obj.fold_assignment(fold_assignment) without return types